简体中文
English
Website review
This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.
What is Image to Prompt Generator?
Image to Prompt Generator is a browser-based tool on Image to Prompt Generator that turns a picture—or a written idea—into a ready-to-use AI art prompt. It has two modes: Image to Prompt analyzes an uploaded JPG, PNG, or WEBP file (up to 5MB, or via image URL) and writes a descriptive prompt from what it sees; Text to Prompt takes your own description and rewrites it in the phrasing AI art models tend to respond to. Prompts can be tuned for Midjourney, DALL·E, Stable Diffusion, Flux, or a general model, and output is in English even when you type in one of the 18 supported input languages. No account is required, and per the site, uploads are processed and discarded rather than stored.
Who it suits
- Beginners who have a reference image but don't know the vocabulary of prompt writing.
- Non-English speakers who can describe an idea in their own language and want an English prompt.
- Hobbyists experimenting across models who want a starting prompt they can then edit by hand.
Where it helps and where it doesn't
The image mode is most useful for reverse-engineering a look—say, a photo whose lighting and color palette you want to recreate. The text mode is better when you already know the scene but your wording feels flat. Neither replaces iteration: treat the output as a first draft, then adjust style, composition, and detail yourself. If you need precise control over a specific model's parameters, expect to refine beyond what a one-click generator produces.
A practical next step: run one image through Image to Prompt, paste the result into your generator of choice, and change a single element at a time to see what the prompt is actually controlling.
How do I choose between Image to Prompt and Text to Prompt for my project?
Choose Image to Prompt when you already have a visual reference and want the tool to describe what it sees; choose Text to Prompt when you have an idea in words and want it expanded into a fuller prompt. In short: image in, description out versus idea in, richer idea out.
The site confirms both modes exist as separate tabs, with Image to Prompt accepting an uploaded JPG, PNG or WEBP (max 5MB) or an image URL, and Text to Prompt taking typed text with a scene/style selector and an "Enhance Prompt" option.
How to decide
- You have a photo, sketch or screenshot you want to recreate in an AI generator. Use Image to Prompt. It analyzes the visual content and produces a descriptive prompt, which suits matching a look you can see but can't articulate.
- You have a concept, mood or short brief. Use Text to Prompt. It applies prompt-writing conventions to your wording, which suits when your idea is clear but the phrasing is not.
- You are working from a client's reference image. Image to Prompt gives you a starting description; expect to edit it, since a good prompt usually needs intent the image alone doesn't carry.
- You are iterating on style. Text to Prompt's style presets (photorealistic, Ghibli, cyberpunk, watercolor and others) let you steer deliberately rather than inferring style from a picture.
A practical workflow is to run the reference through Image to Prompt, then paste the result into Text to Prompt to refine and add the style you actually want. Both modes let you target Midjourney, DALL·E, Stable Diffusion or Flux, and both accept input in 18 languages while outputting English prompts.
One trade-off worth weighing: an image-derived prompt describes what is visible, so it may miss your intended subject emphasis or composition changes; a text-derived prompt reflects your intent but can drift from any visual reference you had in mind. If fidelity to a specific image matters most, start with the image; if control over the concept matters most, start with text.
For a second opinion on prompt phrasing conventions, the official documentation for Midjourney and OpenAI image guides explain how their models read descriptive versus directive prompts.
Are the AI prompts generated by this tool optimized differently for Midjourney, DALL-E, Stable Diffusion, or Flux?
Yes. The page shows a model selector in the Image to Prompt mode with four named options—General, Midjourney, DALL-E, Stable Diffusion and Flux—so the tool is designed to tailor the prompt wording to the model you choose. The Text to Prompt mode, by contrast, exposes a Scene/Style selector (Photorealistic, Ghibli, Cyberpunk, Fantasy, Anime, Watercolor, Oil Painting, Steampunk) rather than a model selector, so model-specific optimization is primarily an Image to Prompt feature. The page does not describe exactly what changes between models, so treat the selector as a targeting control rather than a guarantee of model-perfect syntax.
Practical differences to expect
| Model choice | What the selector is likely doing | When it matters most |
|---|---|---|
| General | Plain descriptive prompt, no model conventions | Quick drafts, unknown or niche generators |
| Midjourney | Model-tuned phrasing for Midjourney's prompt style | Iterating on stylized art where phrasing strongly affects output |
| DALL-E | More natural-language, descriptive wording | Narrative or literal scenes where you want the model to follow a sentence |
| Stable Diffusion | Keyword-and-detail oriented phrasing | Workflows with negative prompts, LoRAs or fine-tuned checkpoints |
| Flux | Prompt phrasing aimed at Flux | Testing the same image across newer models |
How to use this in practice
If you are converting a reference photo, generate the prompt once per model you actually use and compare the wording, then keep the version that reproduces your reference most faithfully. For example, a photographer sourcing a cyberpunk cityscape for Midjourney could generate both a General and a Midjourney prompt from the same upload and run each, while a Stable Diffusion user with a custom checkpoint should expect to add their own quality tags and negative prompt regardless of the selector.
For broader prompt-craft guidance beyond this tool, the official documentation of each platform is the most reliable reference: Midjourney Docs, OpenAI Platform and Stability AI.
Can I generate prompts in languages other than English, and what language will the output be in?
Yes—you can enter your description in a language other than English, but the generated prompt comes out in English. That is the standard for AI art tools like Midjourney, DALL·E, Stable Diffusion and Flux, so the output stays usable across models.
How it works in practice
- Input: The site supports 18 input languages, including Spanish, French, German, Japanese, Chinese, Arabic, Portuguese and Hindi. You type or paste your idea in your own language.
- Output: The prompt itself is produced in English, regardless of your input language.
- Interface: The output-language selector changes the language of the tool's interface and labels, not the prompt text.
Who this suits
- Non-English speakers who think more clearly in their first language but need English prompts for model compatibility.
- Bilingual users who draft quickly in one language and want a consistent English output.
- Teams working across languages who need prompts in a single shared format.
The trade-off is that you cannot get the final prompt in, say, Japanese. If you specifically need non-English prompts—for a model or workflow that accepts them—this tool won't produce them directly, and you would translate afterward.
A concrete example
A Spanish-speaking illustrator writes: "Una ciudad costera al atardecer, estilo acuarela, luz cálida." The tool returns an English prompt describing a coastal city at sunset in watercolor style with warm light—ready to paste into any of the supported generators.
Next step: Draft your idea in whichever language feels most natural, then review the English output and adjust any terms the model may misread (style names and lighting words especially).
Is my uploaded image stored or used for training, and how is my privacy protected?
Uploaded images are processed in real time and then discarded, according to the site's own FAQ. It states that images are not stored, shared, or used for training. Prompt history is kept locally in your browser rather than on a server, and no account is needed, so there is no profile tying your uploads to you.
What that means in practice
- For a designer checking a client's unreleased product photo: the main privacy risk is what happens during processing, not afterward. The site's claim covers this: it says the image is discarded once the prompt is generated.
- For anyone handling sensitive material: treat the claim as the site's stated policy, not an independently verified guarantee. If the image is confidential (faces, contracts, internal designs), a safer route is to describe it in the Text to Prompt mode instead of uploading it.
- For everyday use: the no-login, local-history setup is a reasonable privacy posture, since nothing is tied to an identity and nothing persists on their side beyond the session.
A useful next step
Before uploading anything you would not want to see published, ask one question: could I get a usable prompt by describing this image in words? If yes, use Text to Prompt and skip the upload entirely. If the visual detail matters (composition, lighting, style), upload only images you would be comfortable sharing publicly, and check the site's privacy statement directly for the current wording.
For comparison, tools like OpenAI and Midjourney publish their own data-retention terms, which are worth reading if you plan to upload client work regularly.
Can I use the generated prompts and resulting AI art for commercial projects?
Yes. The site states that all generated prompts belong to you and can be used commercially, and it places no subscription, watermark or hidden-cost conditions on output. That covers the prompts themselves. The resulting artwork is a separate matter: every major generator (Midjourney, DALL·E, Stable Diffusion, Flux) applies its own terms to images it produces, so check the terms of the model you actually render with before selling or licensing the output.
What to verify before a commercial job
- Model terms: Some generators grant broad commercial rights on paid tiers but restrict free tiers; confirm which tier your account uses.
- Third-party content in the source image: If you upload a photo containing logos, artwork or a recognisable person, the prompt may describe them, and the render may reproduce them. Use images you own or have cleared.
- Style references: The Text to Prompt mode offers styles such as Ghibli or Cyberpunk. Style names can point to living artists or studios; for client work, describe the visual qualities instead of naming a creator.
- Client contracts: Many clients ask for an indemnity on AI-generated assets. Keep records of the source image, the prompt and the model used.
A practical workflow
For a book cover, for example, upload a rough sketch in Image to Prompt, pick the target model, and generate a draft prompt. Then render in your paid model account, and keep the prompt text with the project files as provenance. If the image contains a brand or face, regenerate from a clean source rather than editing around it.
For comparison, OpenAI publishes usage terms for DALL·E images, and Midjourney documents its own commercial-use rules by plan. Reading those alongside this tool's output gives you the full picture.
Cloudflare
User reviews (0)