tancky.io

You can cut most images to a fraction of their original file size without any visible quality loss by doing three things in the right order: resize the image to the dimensions it will actually display at, pick the right format for the content, then apply compression at a quality level that survives a side-by-side check. The single biggest mistake is skipping step one — an oversized image compressed at maximum quality is still far heavier than a correctly sized one.

Why file size and quality are a trade-off, not a fixed setting

Every compressed image is a negotiation between three variables: how many pixels you keep, how precisely each pixel is described, and how much the format is allowed to guess.

• Dimensions decide how many pixels exist at all. Halving width and height removes 75% of the pixel data before any compression happens.
• Quality level decides how aggressively the encoder discards detail it thinks you won't notice.
• Format decides the kind of discarding allowed — some formats throw away color precision, others only remove redundancy.

Because these interact, "quality 80" means something different on a 4000px photo than on a 600px thumbnail. Tune dimensions first, then quality.

Pick the format before you touch the quality slider

Practical rule: photos → JPEG or lossy WEBP; flat graphics and transparency → PNG or lossless WEBP; anything vector → SVG.

The four levers, in the order you should pull them

1. Resize to display size (biggest win, zero quality cost)

If your layout renders an image at 800px wide, serving a 2400px original wastes roughly 89% of the pixels. Resize to the largest size it will ever be displayed at, and add a 2× version only if you need retina sharpness.

2. Choose the format

Match the format to the content type using the table above. Converting a photographic PNG to JPEG or WEBP alone can shrink it by 80% or more.

3. Set the quality level

For JPEG and lossy WEBP, most photographs hold up well between quality 70 and 85. Below ~60, banding appears in skies and blur around text. Above ~90, file size climbs steeply for gains nobody can see.

4. Strip metadata

EXIF data, camera info, and embedded thumbnails can add tens of kilobytes. Remove them unless you specifically need copyright or orientation data — and note that stripping orientation can rotate an image, so verify after export.

When lossy compression is fine, and when it isn't

Lossy is acceptable when:

• The image is a photograph or has natural texture.
• It's decorative or below the fold.
• Slight softening won't be noticed at final display size.

Use lossless or vector instead when:

• The image contains text, UI elements, or thin lines (lossy creates ringing artifacts).
• It's a logo, icon, or diagram — SVG or PNG keeps edges clean.
• It will be edited again later; repeated lossy saves compound degradation.
• It's a screenshot of code or a chart where color accuracy matters.

Compressing vs. resizing: don't confuse them

Compressing reduces the bytes needed to describe the same pixels. Resizing reduces the number of pixels. They're independent, and resizing usually delivers the larger saving. A 3000×2000 photo at quality 95 might be 2 MB; the same photo resized to 1200×800 at quality 80 might be 180 KB. Doing only the quality reduction gets you maybe 40% off; doing both gets you over 90%.

A repeatable workflow

1. Determine the maximum display width in your layout (inspect the element or check your CSS).
2. Export at that width (plus a 2× variant if needed).
3. Convert to the right format — WEBP as a modern default, JPEG as a fallback, PNG/SVG for graphics.
4. Apply quality 75–85 for lossy formats and compare against the original.
5. Strip metadata and re-check orientation.
6. Verify before publishing (see below).
7. Serve the right file with srcset so small screens don't download the large variant.

How to verify quality before you publish

• View at 100% at final display size, not zoomed in — artifacts you can't see at real size don't matter.
• Toggle between original and compressed in a viewer or an online compressor's before/after preview.
• Check the worst-case areas: skies, smooth gradients, sharp edges, and any text.
• Compare file sizes and ask whether the extra kilobytes buy visible improvement. If not, go smaller.
• Test on a mid-range phone, where banding and blur are often more obvious than on a desktop monitor.

Common mistakes

• Compressing a full-resolution image and calling it optimized.
• Using PNG for photographs.
• Setting quality to 100 "to be safe" — it inflates size with no visible benefit.
• Re-saving a JPEG repeatedly, stacking artifacts each time.
• Forgetting that GIF animations are usually better as WEBP or video.
• Ignoring metadata, which can silently add weight.

Quick reference

The order matters more than any single setting: resize, then choose format, then tune quality, then strip metadata, then verify at real display size. Follow that sequence and you'll routinely land at 10–20% of the original file size with no quality your visitors can detect.

Tancky AI's image combiner is advertised as free to try online, and the site states that downloaded results come with full commercial rights. However, the site also maintains a dedicated pricing page, which means paid tiers or usage limits may apply. If you need to know exactly what you'll pay and what you can do with the output, check the pricing page before committing to a workflow.

What the site says about cost

The Tancky AI homepage promotes its AI Image Combiner as a way to "merge, blend, and fuse pictures online for free," and the tool itself is accessible directly from the site without a described paywall at the point of upload. That said, "free" here describes the advertised entry point, not a confirmed permanent price. The presence of a Pricing link in the site navigation indicates that plans, credits, or usage tiers exist beyond whatever free access is offered.

Because the page evidence does not list specific prices, credit amounts, or free-tier caps, this article can't state them. Treat any number you see as something to verify on the pricing page itself, since these terms change often.

What you can do with the images you create

The site states that generated results can be downloaded in high resolution with full commercial rights. In practice, that claim matters most if you're producing images for client work, product listings, ads, or social content rather than personal use. Before relying on it:

• Confirm the commercial rights statement on the pricing or terms page, not just the marketing copy.
• Check whether rights differ between free and paid generations — this is a common split and the site does not specify.
• Keep your own record of the terms in effect on the date you generated the image.

If your use case is high-stakes (resale, trademarked material, regulated advertising), the general rule is to read the actual terms of service rather than a feature page summary.

How the tool works, so you can judge whether it fits

Understanding the workflow helps you decide whether the free access is enough for your needs.

Inputs

• 2 to 4 images per generation, in JPG, PNG, or WebP
• Up to 16 MB per image
• An optional text prompt (up to 4096 characters) describing the composition; you can type @ to reference a specific uploaded image
• A choice of aspect ratio and preset modes such as Group portrait, Portrait background, and Furniture staging

Steps

1. Upload your source images. The site recommends clear photos with good lighting and balanced resolution.
2. Describe the composition — positioning, depth, and lighting — so the model can align perspective and generate plausible contact shadows.
3. Generate, review the result, then download at high resolution.

The output is a single blended scene rather than a side-by-side collage: the site says the model harmonizes perspective, shadows, and edge contours so elements look like they were captured in one photograph.

Where the free tier is likely to matter

The practical question isn't "is it free" but "is free enough for what I'm doing." Consider these scenarios:

The site does not state whether free generations are watermarked, resolution-capped, or rate-limited. Those are exactly the details the pricing page exists to answer.

Bottom line

Tancky AI's image combiner is presented as free to use online, and the site claims full commercial rights on downloaded results. But a pricing page exists, and the evidence doesn't confirm what's free, what's capped, or what changes on paid plans. If cost and usage rights determine whether you adopt the tool, open the pricing page and read the current terms before you build a workflow around it.

If you're new to Ahrefs and want to run your first SEO audit, the fastest path is: open Site Explorer, enter your target URL, review the Overview for a health snapshot, then dig into Organic Keywords, Top Pages, and Site Audit to find specific problems. From there, build a short prioritized to-do list instead of trying to fix everything at once.

This tutorial walks through that workflow using a realistic starting scenario, explains what the numbers mean, and shows how to turn findings into actions.

Before You Start: Pick a Narrow Scope

A common beginner mistake is auditing an entire large website on day one. The reports become overwhelming, and you can't tell which issues matter.

Instead, choose one of these starting points:

• A single important page (your homepage or a key product/service page)
• A small site (under ~50 pages, e.g., a personal blog or small business site)
• One section of a bigger site (e.g., /blog/)

For this tutorial, assume you're auditing a small business site with about 30 pages. The same steps scale up later.

You'll need an Ahrefs account to follow along. Ahrefs offers paid plans, and pricing and feature limits change over time, so check the current Pricing page for what's included in each tier before committing.

Step 1: Enter Your Target in Site Explorer

Site Explorer is Ahrefs' core tool for analyzing any website or URL.

1. Open Site Explorer from the top navigation.
2. In the search box, paste your domain (e.g., example.com).
3. Choose the Exact URL or Domain mode depending on scope. For a full-site view, use Domain or Prefix; for a single page, use Exact URL.
4. Press Enter.

You'll land on the Overview report. Don't try to absorb everything — focus on four numbers first.

Reading the Overview Snapshot

Important caveat: Ahrefs' traffic and keyword numbers are estimates based on its own data. They won't match Google Search Console or your analytics exactly. Treat them as directional, not absolute.

Step 2: See What You Already Rank For

Go to Organic Keywords in the left sidebar. This shows queries where your site appears in search results.

Sort by Traffic (descending) to see which pages bring the most estimated visitors. Then look for:

• Keywords ranking in positions 4–15 — these are often the easiest wins. A small content or on-page improvement can push them onto page one.
• Keywords with high volume but low position — potential opportunities if the topic is relevant.
• Irrelevant keywords — if you rank for something off-topic, it may signal thin or mismatched content.

Write down 5–10 of the position 4–15 keywords. These become your first optimization targets.

Step 3: Find Your Best and Weakest Pages

Open Top Pages. This ranks your URLs by estimated organic traffic.

Look for two things:

1. Your top performers — understand what topics and formats work. Can you create more content like this?
2. Pages with traffic but poor rankings — these may need on-page fixes (title, headings, internal links).

If a page gets zero traffic and targets a topic you care about, it's a candidate for a rewrite or consolidation.

Step 4: Run a Technical Site Audit

Now move to Site Audit. This crawls your site and flags technical and on-page issues.

1. Click Site Audit → New project.
2. Enter your domain and set crawl settings (default is usually fine for a small site).
3. Start the crawl and wait for it to finish.

Once complete, you'll see a Health Score and a list of issues grouped by category.

Which Issues to Fix First

Not all issues are equal. Prioritize in this order:

Ignore low-impact warnings (like minor meta description length) until the big items are handled.

Step 5: Turn Findings Into a To-Do List

You now have raw data. Convert it into a short, actionable list. Example:

1. Fix 3 broken links found in Site Audit.
2. Rewrite title tags on 5 pages with duplicate titles.
3. Improve 4 pages ranking in positions 6–12 by adding missing subtopics and internal links.
4. Remove or update 2 thin pages with no traffic.

Keep the list to 5–10 items max for your first audit. Finishing a short list beats starting a long one.

Common Beginner Mistakes

• Chasing every red flag. Site Audit flags many minor issues. Fix what affects rankings and users first.
• Trusting estimates as exact numbers. Ahrefs data is modeled, not measured from your analytics.
• Auditing a huge site too early. Start small to learn the interface.
• Ignoring search intent. A page can be technically perfect but still fail if it doesn't match what searchers want.
• Forgetting to re-crawl. After fixes, run Site Audit again to confirm improvements.

Where to Go Next

Once your first audit is done:

• Compare with competitors using Site Explorer's Competing Domains and Content Gap reports.
• Track keyword rankings over time with Rank Tracker.
• Explore backlink opportunities in the Backlinks and Link Intersect reports.
• Set up recurring Site Audit crawls so new issues surface automatically.

Your first audit isn't about perfection — it's about building a repeatable habit: enter a target, read the key reports, pick the highest-impact fixes, and act. Do that once a month and your site's health compounds.

Automatic background removal identifies the main subject in a photo and separates it from everything else, usually in one click. It works well for clean, high-contrast images—think a product on a plain white background. It struggles with fine details like hair, fur, transparent glass, and low-contrast edges, where a manual refinement step is still needed to get a clean result.

What "Automatic" Actually Does

Most automatic background removal tools follow the same general principle, even if the underlying methods differ:

1. Subject detection – The tool looks for the most likely foreground object. This is often the largest, most in-focus, or most centrally placed element in the frame.
2. Edge separation – It then estimates where the subject ends and the background begins, based on differences in color, brightness, and contrast along the boundary.
3. Mask generation – A transparency mask is created: pixels inside the subject stay opaque, pixels outside become transparent.

The key point is that automation is making an estimate. When the boundary between subject and background is clear, that estimate is usually accurate. When the boundary is ambiguous, the estimate needs correction.

Where Automation Performs Well

Automatic removal tends to produce clean results when the image gives the tool clear signals. Common examples:

• Product photos on plain backgrounds – A solid white, gray, or single-color backdrop with a clearly defined object.
• High-contrast subjects – Dark subject on a light background, or vice versa.
• Simple, solid shapes – Boxes, bottles, furniture, and other objects with smooth, well-defined outlines.
• Images with even lighting – No harsh shadows blending the subject into the background.

In these cases, you can often accept the automatic result as-is, or with only minor cleanup.

Where Manual Editing Is Usually Required

Some image types reliably trip up automation. If your image falls into one of these categories, plan for a refinement pass:

The Role of a Refinement Editor

A refinement or "smart clip" editor is where you correct what automation got wrong. Typical controls include:

• Brush tools – Add or remove areas from the mask, either broadly or with a fine tip for edges.
• Edge refinement – Smooth or sharpen the boundary, and recover soft transitions like hair.
• Transparency handling – Keep semi-transparent regions (glass, smoke) partially see-through rather than fully opaque or fully cut.
• Foreground recovery – Bring back subject pixels the tool mistakenly removed.

The workflow is usually: run the automatic pass first, then switch to manual tools only where the result is visibly wrong. This saves time compared with masking from scratch.

Practical Checks Before You Decide

Run through these questions after an automatic pass to judge whether manual work is needed:

1. Zoom in on the edges. Are there halos, jagged lines, or leftover background pixels?
2. Check fine details. Did hair, fur, or thin structures survive, or were they cut off?
3. Look at transparency. If the subject is glass or sheer fabric, does it still look see-through?
4. Inspect the overall silhouette. Does the shape match the original subject?
5. Place it on a new background. Put the cutout on a contrasting color—problems that were invisible on white often show up immediately.

If any check fails, a manual refinement pass will improve the result.

A Realistic Expectation

Automatic background removal is a strong starting point, not a guaranteed final result. It handles the majority of clean, well-lit, high-contrast images with little effort. For complex subjects, treat the automatic pass as a first draft and budget time for manual cleanup. The more demanding the image—fine hair, transparency, soft edges—the more that manual step matters.

A practical rule: if the subject's edge is something you could trace confidently with your eyes, automation will likely handle it. If you'd hesitate at any point along the boundary, expect to refine it by hand.

Tancky AI's image combiner merges 2 to 4 photos into one scene by analyzing subjects, lighting, and spatial depth across your references, then synthesizing a new composition with matched perspective and shadows. You can use it when you want people from separate portraits placed into a single group shot, product photos staged against a new backdrop, or furniture images placed into a room. The workflow is upload, describe, generate, download — and the page states results come with full commercial rights.

What you need before starting

• 2 to 4 source images
• JPG, PNG, or WebP format
• Up to 16 MB per image
• Clear photos with good lighting and balanced resolution

The upload area shows a counter of 0 / 4, so the tool accepts a maximum of four images per generation.

Step-by-step: combining images

Step 1 — Upload your source images

Drag or upload 2 to 4 pictures into the upload area. The interface accepts JPG, PNG, and WebP, with a limit of 16 MB each. For the cleanest merge, pick photos where the subject is clearly lit and not heavily cropped.

Step 2 — Describe your composition (optional)

The prompt field is optional and holds up to 4096 characters. Use it to describe how your subjects should interact — positioning, depth, and lighting. You can type @ to reference a specific uploaded image, which helps when you want to say which photo a subject or element should come from.

If you skip the prompt, the tool still generates a result, but you give up control over how subjects are arranged and lit.

Step 3 — Choose an aspect ratio and generate

Select your target aspect ratio, then click Generate. The page lists preset options including:

• Group portrait
• Portrait background
• Furniture staging
• Auto

The combiner synthesizes the scene in seconds. The page describes the output as harmonizing perspective, shadows, and edge contours so elements look captured in a single photograph rather than pasted into frames.

Step 4 — Review and download

Check fine details in the result — contact shadows, edge blending, and whether lighting direction matches across subjects. When it looks right, download the high-resolution output. According to the page, downloads come with full commercial rights.

How to verify the result worked

A successful merge should show:

• Consistent light direction across all subjects
• Contact shadows where subjects meet the ground or each other
• No visible cutout edges or halos around subjects
• Matching perspective — subjects at similar depths should appear at similar scale

If any of these are off, regenerate with a more specific prompt naming the problem area, or swap in a source photo with cleaner lighting.

Common sticking points

• Too many images. The limit is 4. If you need more subjects, generate in stages and combine the outputs.
• File too large. Anything over 16 MB per image won't upload — resize first.
• Vague prompts. "Make it look good" gives the model little to align perspective and shadows. Name positions, depth, and light direction instead.
• Mismatched source lighting. Photos shot under very different color temperatures are harder to fuse convincingly; starting with similar lighting reduces cleanup.
• Unsupported formats. Only JPG, PNG, and WebP are accepted.

What you can build with it

The page highlights several use cases: merging separate portraits into couple, family, or wedding photos; creating e-commerce backdrops; and staging furniture in rooms. Related tools on the same site include an AI Couple Photo Maker, AI Family Photo Generator, AI Wedding Photo Generator, AI Background Remover, and AI Image Upscaler — useful if you need to clean up a source image before combining it.

Pricing details are not covered in the available page content; check the site's pricing page for current plan and usage terms.