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More questions →What to Look for in a Video Platform Beyond Hosting and Sharing
If you're evaluating a video platform for a small business or marketing team, hosting and sharing are just the entry point. The features that actually determine whether a platform fits your workflow fall into four areas: privacy and playback control, collaboration and review tools, marketing and analytics capabilities, and practical limits like storage and mobile support. Most general-purpose tools (cloud storage, social networks, free hosts) cover hosting well but leave gaps in the other three. This guide walks through what each area means in practice, so you can map features to your own situation instead of comparing endless checklists.
Start by separating three jobs: hosting, editing, and marketing
Video platforms tend to bundle three distinct functions, and confusion usually comes from mixing them up:
- Hosting — storing a file, generating a player, delivering it reliably to viewers. This is the baseline.
- Editing — trimming, assembling, adding captions or branding. Some platforms include basic editors; others expect you to edit elsewhere and upload the result.
- Marketing and business features — privacy controls, lead capture, calls to action, analytics, team review workflows. These are what separate a "video host" from a "video platform."
A useful exercise: write down your last five video tasks (a product demo, a client pitch, a social clip, an internal training, a landing page embed). For each one, note which of the three jobs it required. If most of your tasks stop at hosting, a lighter tool may be enough. If several involve review cycles, gated access, or measuring viewer behavior, a fuller platform earns its cost.
Privacy and playback control: the business-vs-social divide
On social platforms, everything is public by default and wrapped in ads and recommendations. For business use, that's often the opposite of what you want. Look for:
- Granular privacy settings — can you restrict a video to specific people, a password, a domain, or an embed location? Can you make it unlisted but still embeddable?
- Ad-free playback — your product demo shouldn't end with a competitor's ad or an unrelated recommendation.
- Customizable embeds — control over player color, logo, and whether related videos appear. This matters when the video sits on your own site and represents your brand.
- Domain-level restrictions — the ability to limit playback to your own website prevents your content from being re-embedded elsewhere.
If your videos are purely promotional and public, these controls matter less. If you share client work, internal training, or pre-release material, they become the deciding factor.
Collaboration and review: the most common gap
This is where general-purpose tools most often fall short. A shared drive lets people comment on a file, but it doesn't give you a structured review process. A dedicated platform typically offers:
- Timestamped comments — feedback attached to a specific moment in the video, so "the logo looks off" points to an exact frame.
- Versioning — uploading a new cut while keeping the old one, so reviewers can see what changed.
- Approval status — a clear "approved" or "needs changes" state rather than a scattered email thread.
- Role-based access — reviewers who can comment but not download or reshare.
When this becomes relevant: as soon as more than two people need to sign off on a video, or when you're producing videos on a recurring schedule. For a solo operator publishing once a month, a simple comment thread may be sufficient.
Analytics and lead capture: beyond view counts
A raw view count tells you almost nothing actionable. Business-oriented platforms go further:
| Feature | What it tells you | When it matters |
|---|---|---|
| Watch time / engagement graph | Where viewers drop off | Improving content or editing |
| Viewer identity | Who watched (when gated) | Sales follow-up, internal training |
| Lead capture forms | Email collected before or during playback | Demand generation |
| Calls to action | Click-through to a page or booking link | Converting viewers |
| Embed/domain reports | Where your video is being watched | Tracking campaign performance |
If your goal is brand awareness, basic view counts may be fine. If you're using video to generate leads or train staff, the deeper metrics are the reason to choose a platform over a free host.
Practical limits that affect daily use
Feature lists rarely mention the constraints that cause friction later. Check these before committing:
- Storage and bandwidth limits — how much you can upload, and whether high viewership triggers overage fees.
- Upload size and length caps — relevant if you work with long recordings or high-resolution footage.
- Mobile app support — can you upload, review, and respond to comments from a phone? For teams that shoot on mobile, this is a real workflow factor.
- Export and portability — can you download your originals and embed codes if you leave? Lock-in is a hidden cost.
- Integrations — does it connect to the tools you already use (your website builder, CRM, or project tracker)?
Deciding between a full platform and a lighter tool
Use these rough conditions as a starting point:
A lighter tool (free host, cloud storage, social platform) is likely enough if:
- You publish occasionally and mostly to public channels.
- One person handles video end to end.
- You don't need gated access or viewer-level analytics.
A dedicated platform is worth evaluating if:
- Multiple people review or approve videos.
- You need privacy controls, ad-free playback, or branded embeds.
- You're using video for lead generation, training, or client delivery.
- You publish frequently enough that manual workarounds cost more than a subscription.
Pricing and plan details change often, so check the platform's current plans page directly rather than relying on secondhand comparisons. The right approach is to list your actual requirements first, then match them against what each option offers — not the other way around.
What Is an AI Video Editor and What Can It Actually Do?
An AI video editor is an online or desktop tool that combines a standard timeline editor with AI features that generate or automate parts of video production. FlexClip, for example, pairs a browser-based editor with AI tools for video generation, text-to-speech, script writing, background removal, auto subtitles, and translation, plus 6,000+ templates and a stock library. It suits people who need a finished video quickly — marketers, social media creators, educators — and who are willing to review and clean up AI output rather than expect a perfect first pass.
How an AI video editor differs from a standard timeline editor
A standard editor gives you a canvas and manual controls: you import footage, cut, arrange, and export. An AI video editor keeps those controls but adds features that produce content for you or remove repetitive work.
| Task | Standard editor | AI video editor |
|---|---|---|
| First draft | You build it clip by clip | Generated from a prompt, article, or URL |
| Subtitles | Typed or imported manually | Auto-detected and generated |
| Voiceover | Recorded or sourced externally | Text converted to speech |
| Background | Masked or keyed by hand | Removed automatically |
| Script | Written separately | Generated for a stated purpose |
| Multi-language | Separate versions produced manually | Translated within the tool |
The practical difference is where your time goes. With a standard editor, most effort is assembly. With an AI editor, most effort shifts to reviewing, correcting, and polishing what the AI produced.
Common AI capabilities and what each one does
FlexClip lists six core AI tools. Each maps to a specific bottleneck:
- AI Video Generator — creates video from a prompt, article, or URL. This is the fastest route to a first draft when you have text but no footage.
- AI Text to Speech — turns written text into voiceover, useful when recording isn't practical.
- AI Script — generates a script for a given purpose, helpful when you know the topic but not the structure.
- AI Background Remover — removes backgrounds from video or images without manual masking.
- AI Auto Subtitle — identifies speech and generates subtitles automatically.
- AI Translator — produces multi-language versions of a video.
These are not independent steps. A typical workflow chains them: generate or write a script, produce a draft, add voiceover and subtitles, then translate if you need another language.
From prompt, article, or URL to an editable first draft
The AI Video Generator accepts three input types. The process is the same regardless of which you use:
- Choose your input. Paste a prompt describing the video you want, an article you want adapted, or a URL whose content should become a video.
- Generate the draft. The tool assembles scenes, visuals, and pacing from that input.
- Review the result. Check whether the visuals match your intent, whether the pacing works, and whether any text is accurate.
- Edit on the timeline. Trim, merge, reverse, or speed up clips; swap in your own footage; adjust text, music, and transitions.
- Add finishing layers. Apply auto subtitles, a text-to-speech voiceover, or a translation if needed.
- Export. FlexClip supports export up to 4K resolution and direct sharing to social platforms.
The expected result after step 2 is a rough but structured draft — not a finished video. Steps 3 through 5 are where the video becomes usable.
Where templates and stock assets fit
AI generation and templates solve different problems. AI handles the blank page; templates handle consistency and speed when you already know the format you want.
FlexClip offers 6,000+ templates across categories including business, store intro/outro, community, sport, wedding, slideshow, and marketing. Its resource library includes 4M+ videos and photos, 74,000+ music and sound effects, 1,000+ text presets, 3M+ dynamic elements, 700+ effects and filters, and 200+ transitions, with one-click application for commercial use.
A practical division: use a template when the structure is predictable (a product promo, a wedding slideshow), and use AI generation when you're starting from text or a URL and need a draft built for you. Both paths land in the same editor, so you can combine them — start from a template, then use AI tools to fill in voiceover or subtitles.
Practical limits to expect
AI features reduce work; they don't remove it. Plan for these:
- Output quality varies by input. A vague prompt or a poorly structured article produces a weaker draft. Specific inputs produce more usable results.
- Manual cleanup is normal. Generated scenes may need reordering, replaced visuals, or trimmed timing. Budget time for this.
- Subtitles and translations need proofreading. Auto-generated text can mishear words or mistranslate context, especially with names, jargon, or idioms.
- Export resolution is capped at 4K. If you need higher, this tool isn't the right fit.
- AI voiceover is not a substitute for a real narrator when tone and emotion carry the message.
Choosing between AI-assisted and manual editing
Use this as a decision guide for a specific project:
Choose AI-assisted when:
- You're starting from text, an article, or a URL and have no footage
- You need subtitles, a voiceover, or a translation quickly
- The video is one of many and speed matters more than frame-level control
- You're comfortable reviewing and correcting generated content
Choose manual editing when:
- You have specific footage that must be cut precisely
- Timing, pacing, or sound design is central to the result
- The content is sensitive enough that AI errors would be costly
- You need resolution above 4K
Most real projects land in between: generate or template the structure, then edit manually where it counts. FlexClip's collaboration features — shared teammate access, cloud storage for files and designs — support that mixed workflow when more than one person is involved.
What Is Face Swap and How Do You Do It on Photos and Videos?
Face swap is the process of replacing the face in a target photo or video with a face from a source image, so the result keeps the target's pose, expression, and motion while showing the source person's features. You can do it in a browser-based AI studio like Magic Hour, where face swap is one of 100+ tools and core tools are free to try without signing up. It works best when both faces are well lit, roughly front-facing, and unobstructed. It is not the same as lip sync or a talking photo, and it should only be used on people whose consent you have.
Face swap vs. similar tools
These three get confused constantly, so separate them before you pick a workflow:
| Tool | What changes | What stays | Typical input |
|---|---|---|---|
| Face swap | The identity of the face | Pose, expression, motion, background | Source face + target photo or video |
| Lip sync | Mouth movement to match audio | The face and identity | Video or portrait + audio |
| Talking photo | Adds speech and motion to a still | The original face | Portrait + audio |
If you want a different person in an existing clip, that is face swap. If you want the existing person to say something new, that is lip sync or a talking photo.
The basic workflow
The steps are consistent across tools, and Magic Hour's face swap follows the same pattern:
- Upload the source face. This is the face you want to appear in the result. A clear, front-facing, evenly lit photo gives the model the most to work with.
- Upload the target. This is the photo or video whose pose and motion you want to keep. For video, keep clips short for the first attempt.
- Align and frame. Make sure the target face is visible, not turned too far, and not covered by hands, hair, or objects. Most tools detect the face automatically; you are really checking that detection will succeed.
- Generate. The model maps the source features onto the target face across frames.
- Review frame by frame. Watch the whole clip, not just the first second. Problems usually show up mid-motion.
Magic Hour also exposes face swap through its API, which matters if you need to run the same swap across many assets in a campaign rather than one at a time.
What determines quality
Four factors do most of the work:
- Lighting. Match the direction and softness of light between source and target. A harshly lit source on a softly lit target reads as pasted-on.
- Angle. Front-facing to front-facing is easiest. Large differences in head rotation force the model to invent geometry, which is where warping starts.
- Resolution. Low-resolution sources lose skin texture and detail, so the swapped face looks smoother than the rest of the frame.
- Occlusion. Glasses, hands, microphones, and hair crossing the face break tracking. Fewer obstructions means fewer artifacts.
Consent, likeness rights, and disclosure
Swapping a real person's face raises two separate issues: permission and honesty.
- Permission. Get consent from the person whose face you are using, and check whether you also need rights to the target footage. Likeness rights vary by jurisdiction and use case.
- Disclosure. If the result could be mistaken for real footage of that person, label it. This is especially important for anything published publicly or used commercially.
Avoid using face swap to depict real people saying or doing things they did not, and avoid any use involving minors or non-consenting individuals. These are the cases where the technology causes real harm and where platforms and laws are least forgiving.
Common failures and fixes
| Problem | Likely cause | Fix |
|---|---|---|
| Blurry or soft face | Low-resolution source, or heavy compression on the target | Use a sharper source; start from a higher-quality target clip |
| Warping or stretching | Large head-angle mismatch, or fast motion | Pick a source with a similar angle; use a slower or shorter clip |
| Mismatched skin tone | Different lighting color temperature between source and target | Color-match the source to the target before uploading, or pick a source shot under similar light |
| Face flickers between frames | Occlusion or tracking loss mid-clip | Trim to the section where the face stays clear, or remove the obstruction |
| Result looks "off" but you can't say why | Expression mismatch | Match the source's expression to the target's; a neutral source on a laughing target reads wrong |
When face swap is the right tool
Use it when the identity of the face is the thing you need to change and everything else in the shot should stay. Skip it when you actually need new dialogue (use lip sync), a still portrait brought to life (use a talking photo), or a fully generated scene (use text to video or image to video).
If you are producing at volume, the deciding factor is usually workflow rather than the swap itself: one studio with a shared account and credit balance, plus API access, beats moving files between separate single-purpose apps. Magic Hour states that credits roll over and that it refunds on errors, which is worth confirming against current plan terms before you commit to a paid tier.
How Music Video Editing Shapes a Song's Chart and Promotional Run
Music video editing is not just a creative afterthought—it is a release strategy. The cut you publish, how long it runs, how it is paced, and which versions you distribute across platforms all influence how a song is promoted, how playlists and programmers treat it, and whether the video supports or complicates a chart run. For artists, managers, and labels, understanding the difference between creative editing and chart-rule compliance is essential before the first frame goes live.
Why the Edit Is a Business Decision
A song can exist without a video, but once a video is attached, it becomes part of the song's commercial identity. Editors and directors shape that identity through:
- Length – a full narrative video may run four to six minutes, while a platform-friendly cut may be trimmed to match the song's radio edit.
- Pacing – faster cuts suit short-form clips and social teasers; slower, sustained shots suit lyric videos and performance pieces.
- Versioning – the same song may need a clean version, an explicit version, a vertical cut, and a shortened edit for different outlets.
Each of these choices affects where the video can be placed, how it is promoted, and how it interacts with the song's chart eligibility.
The Main Edit Types and When to Use Them
Radio Edit
A shortened, often lyrically cleaned version timed to fit radio formatting. Use it when the song is being serviced to radio and you want the video to mirror what programmers are playing. If the video runs significantly longer than the radio edit, some promotional partners will use the shorter cut instead, which can split audience attention.
Lyric Video
A lower-cost, text-driven edit that can be released quickly, often before or alongside the official video. It is useful for maintaining momentum in the first days of a release, when fans want something to watch immediately. Lyric videos are also easier to update or replace if a lyric correction is needed.
Performance Cut
Focuses on the artist performing, often in a single setting or with minimal narrative. This is the most flexible format for promotional use because it can be trimmed, looped, or reformatted for vertical platforms without losing coherence.
Narrative Cut
A story-driven edit, usually the "official" video. It carries the most editorial weight but is also the hardest to shorten without losing meaning. If a narrative video is the primary release, plan a separate shorter cut for platforms that favor brevity.
Vertical / Short-Form Cut
A re-edited version framed for vertical screens, often using the hook or chorus. This is not simply a cropped version of the horizontal video—good vertical edits re-time cuts to the platform's pacing and place the most recognizable moment early.
How Edit Choices Interact With Promotion and Charts
Chart rules vary by territory and by chart, and they change over time. The safe approach is to treat the following as general principles rather than fixed rules:
- Version strategy matters. Releasing multiple edits of the same song can help promotion, but it can also complicate how streams and sales are counted if the versions are treated as separate releases. Check the current rules of the specific chart you care about before splitting a release.
- Timing matters. A video released before or at the same time as the song can concentrate attention. A video released weeks later can extend a song's promotional life but may miss the initial chart window.
- Platform fit matters. A video that is poorly formatted for a major platform will get less promotional support, which can indirectly affect the song's visibility.
None of this guarantees a chart position. Editing supports a release; it does not replace audience demand.
A Practical Version Plan
Before editing begins, decide which versions you actually need. A workable starting point:
- Official video – the primary creative cut, full length.
- Radio edit video – matches the radio edit length and lyrics.
- Lyric video – fast turnaround, released early if needed.
- Vertical cut – 15–60 seconds, hook-first, for short-form platforms.
- Clean version – if the song has explicit content and you want broader placement.
For each version, note the intended platform, the target length, and the release date. This prevents last-minute re-edits that delay a rollout.
Common Mistakes to Avoid
- Assuming one cut works everywhere. A four-minute narrative video rarely performs well as a short-form clip without re-editing.
- Ignoring chart-rule details. If you plan to release multiple versions, confirm how they will be counted before release day.
- Letting the edit drift from the audio. If the video uses a different mix or edit than the released audio, make sure that is intentional and documented.
- Releasing the lyric video too late. Its main value is speed; if it arrives after the official video, it adds little.
What to Watch For in Industry Coverage
Industry news outlets track release strategies, version rollouts, and chart-rule changes. When reading coverage of a music video release, pay attention to:
- Whether the video is described as an official video, lyric video, or visualizer.
- Whether multiple versions were released and in what order.
- Whether the coverage mentions chart performance, and if so, which chart and which tracking period.
These details tell you more about the strategy than the video's creative style alone.
Bottom Line
Music video editing is a promotional tool with real consequences for how a song is positioned. Decide your version plan before you shoot, match each cut to its platform, and verify chart-rule details for your territory before splitting a release. Creative editing and release strategy are not opposites—the best rollouts treat them as the same job.
Image Editing: What It Is and How to Choose the Right Tool
Image editing is the process of changing an existing image—cropping, resizing, retouching, correcting color, removing a background, or converting its format—rather than creating a new design from scratch. It's the right approach when you already have a photo or graphic and need it to meet a specific requirement: a marketplace listing, a website, a print piece, or a social post. If you're building an original layout with type and vector shapes, that's graphic design; if you're repairing an old or damaged photo, that's restoration. Image editing sits in between and covers most day-to-day tasks.
What counts as image editing
The label covers a defined set of operations. Knowing which one you need determines which tool will work.
- Crop — remove unwanted edges or change the aspect ratio.
- Resize — change pixel dimensions or file size for a platform's limits.
- Retouch — remove blemishes, dust, or small unwanted objects.
- Color correction — fix white balance, exposure, contrast, or saturation.
- Background removal — isolate the subject, usually for product or profile images.
- Format conversion — move between JPEG, PNG, WebP, TIFF, and similar.
For example, an Amazon seller preparing a listing image may need background removal, a square crop, and a resize to the marketplace's minimum pixel requirement—three separate operations in one workflow.
Comparing editor types
The three main categories differ in where they run, what they cost in effort, and what they're good at. Use the same dimensions to compare any two tools.
| Type | Best for | Typical trade-off |
|---|---|---|
| Desktop software | Precise, repeatable, high-volume work; layered files | Install and learning curve |
| Web apps | Quick edits, no install, sharing a link | Depends on browser and upload speed |
| Mobile apps | On-the-go crops, filters, quick retouches | Smaller screens, fewer precision controls |
Some platforms bundle image editing into a wider toolset. IntelliFox, for instance, describes itself as a unified set of Amazon seller tools covering listing optimisation, PPC automation, sales and profit tracking, image editing, review requests, and fee change alerts—so image editing there is one function among several rather than a standalone editor. That matters if your editing needs are tied to marketplace listings rather than general photo work.
How to choose a tool
Match the tool to four things before you commit time to learning it:
- Platform — Do you work on desktop, in a browser, or on a phone? Pick the one you'll actually use daily.
- Budget — Check the vendor's pricing page rather than assuming a free tier. IntelliFox lists a pricing page at intellifox.com/pricing/, but the source material doesn't state what's free or paid, so verify before relying on it.
- Skill level — If you need layers and masks, a full editor is worth the learning curve. If you need a crop and a resize, a simpler tool is faster.
- Output needs — Resolution, file format, and transparency requirements rule out some tools immediately.
A basic editing workflow
The same sequence works in almost any editor:
- Import the original and keep a copy untouched.
- Crop to the target aspect ratio first, so later adjustments apply to the final framing.
- Correct color and exposure before retouching, since tonal changes can reveal or hide flaws.
- Retouch blemishes and unwanted objects.
- Remove or replace the background if the output needs transparency or a clean backdrop.
- Resize to the final pixel dimensions.
- Export in the required format and check the file size against the platform's limit.
Doing resize and export last avoids re-editing a file that's already been compressed.
Common problems and fixes
- Quality loss after resizing — You enlarged beyond the original resolution. Start from the largest source file you have, and downsize rather than upsize where possible.
- Wrong file format — Transparency needs PNG or WebP; JPEG doesn't support it. Convert after editing, not before.
- Unsupported file — Some editors won't open RAW, TIFF, or HEIC. Convert to a supported format first, or choose a tool that lists your camera's format.
- Colors look different after export — Check the color profile and whether the platform re-compresses uploads.
If your editing is part of a larger listing or storefront workflow, confirm the tool handles the export formats and dimensions that platform requires before you build a routine around it.
Website Overview
Several search or sharing settings need attention. Together they may make snippets, preview images or preferred URLs less consistent across platforms.
Domain and Registration
Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain has about 3 years of registration history; its current configuration provides more context than age alone. The registrar is GoDaddy.com, LLC, a widely used domain service provider. Registration contact information is publicly available through RDAP. The domain uses the common .ai extension, which is not an independent safety signal.
DNS and Email
Nameservers are provided by GoDaddy, indicating managed DNS hosting. MX records point to the Google Workspace email service. No CNAME was found; the observed records resolve directly to addresses. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google, Apple. Such markers may also remain after a service stops being used.
TLS and Certificates
The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.
HTTP and Browser Security
No X-Powered-By header was found, reducing one common source of backend fingerprinting information. All six checked browser-security headers are present. Their effectiveness still depends on the policy values and application behavior. The via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers. No CORS permission header was found, so browsers normally restrict cross-origin script access.
Technology Stack Analysis
The public page identifies Next.js without precise versions, leaving fewer clues for version-specific scanning.
Search and Social Sharing
The title has 85 characters and may be truncated in search results. The meta description has 234 characters and may be shortened in search results. Twitter Card metadata is configured. JSON-LD includes Organization data, helping describe the organization as an entity. The observed directives allow indexing and link following.
Hosting and Email
Pages, Search and Sharing
| Meta description | 100+ AI tools for video and images in one place: face swap, lip sync, talking photos, templates, generation, and editing. Credits roll over; refunds on errors. Try free without sign-up. Web, mobile, and API. Trusted by 3.8M+ creators. |
|---|---|
| Canonical URL | https://magichour.ai |
| Language | English (default) |
| Twitter Card | summary_large_image |
Social Sharing Preview
12 fieldsrobots.txt (opens in a new tab)
9 rulesAll bots 1 allowed · 2 disallowed
//sign-in/sign-up
gptbot 1 allowed · 0 disallowed
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claudebot 1 allowed · 0 disallowed
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perplexitybot 1 allowed · 0 disallowed
/
oai-searchbot 1 allowed · 0 disallowed
/
ccbot 0 allowed · 1 disallowed
/
bytespider 0 allowed · 1 disallowed
/
No matching rules.
Sitemaps
1
Registration details RDAP / WHOIS
| Registrar | GoDaddy.com, LLC |
|---|---|
| Registered | 2023-01-22 |
| Expires | 2033-01-22 |
| Domain status | client delete prohibited、client renew prohibited、client transfer prohibited、client update prohibited |
| Nameservers | ns13.domaincontrol.com、ns14.domaincontrol.com、ns63.domaincontrol.com、ns64.domaincontrol.com |
| DNSSEC | unsigned |
DNS records
| Type | Name | Value | TTL | Priority |
|---|---|---|---|---|
| A | magichour.ai | 136.68.46.175 | 600 | — |
| MX | magichour.ai | smtp.google.com | 86400 | 1 |
| NS | magichour.ai | ns13.domaincontrol.com | 3600 | — |
| NS | magichour.ai | ns14.domaincontrol.com | 3600 | — |
| TXT | magichour.ai | apple-domain-verification=24FKRGpu4Z68pxXJ | 1800 | — |
| TXT | magichour.ai | google-site-verification=FxKHpArfgz1g3C3gUPLnT3pG7VNdKdWLPKTUphUWHgc | 1800 | — |
| TXT | magichour.ai | google-site-verification=Xtr8Vi7GzqF5sBWtR9qsgASHYCuLAAtv9V0k2tmS6YQ | 1800 | — |
| TXT | magichour.ai | smithery-verification=19f553a89fb5507887f88307a6b45f0f99d07a1b8874ce6ca7d43e979107c0df | 1800 | — |
| TXT | magichour.ai | stripe-verification=14f426a27560729ea933aa3866bcdf83aff693d4c1c0c13678c432296cab423f | 1800 | — |
| TXT | magichour.ai | v=spf1 include:_spf.google.com ~all | 1800 | — |
| TXT | magichour.ai | yandex-verification: a43ecb3a536ed186 | 1800 | — |
| DMARC | _dmarc.magichour.ai | v=DMARC1; p=reject; rua=mailto:[email protected] | 3600 | — |
TLS and certificates
| Assessment | Normal configuration |
|---|---|
| Supported protocols | TLSv1.2、TLSv1.3 |
| Negotiated protocol | TLSv1.3 |
| Certificate subject | magichour.ai |
| Issuer | Let's Encrypt |
| Valid until | 2026-11-26T03:01 · Remaining when checked: 57 days |
| Verification details | Certificate trust: Passed · Hostname match: Passed |
HTTP response headers
| Header | Value |
|---|---|
| content-type | text/html; charset=utf-8 |
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