Fix the prompts that aren’t working — in one paste

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What’s wrong with your prompt?

Pick the closest symptom — the right tool is one click away. Each one takes your current prompt as input and returns a working version.

All prompt tools

Nine tools, one job each

Each prompt tool does exactly one thing and does it cleanly. Paste a prompt in, get a tool-specific output back. No model lock-in — every tool works for Midjourney, Stable Diffusion, SDXL, Flux, and Gemini.

When prompts go wrong

How to think about prompt failure modes

A prompt that is not producing the output you want is failing in a specific way, even if the failure looks generic from the outside. The nine tools in this cluster each address a different category of failure. Diagnosing which one you have is faster than rewriting the prompt from scratch, and the result is usually a smaller edit than expected.

The four categories of prompt failure

Prompts that are not working tend to fall into one of four categories. Naming the category points at the right tool.

The prompt is too short. Symptom: the output is generic, off-tone, or matches the prompt’s most literal reading rather than your intent. The model is filling in details you did not specify, and its defaults are not what you want. Fix: prompt expander, which adds lighting, mood, and composition language while keeping your subject intact.

The prompt is too long. Symptom: the output is muddled, the subject keeps shifting, or different generations contradict each other. The model is trying to satisfy too many constraints simultaneously and is dropping some. Fix: prompt shortener, which cuts redundant adjectives and weak modifiers while keeping the structural anchors.

The prompt is structurally wrong for the model. Symptom: the output is fine for the wrong model. A Midjourney-formatted prompt running on Stable Diffusion gives flat results. A long natural-language description running on Nano Banana confuses the model. Fix: prompt rewriter, which reorganises the prompt for the target model without changing the subject.

The prompt is fine but the model is not. Symptom: the prompt scores well on every diagnostic but the output is still weak. This is usually a model fit issue — Flux for natural-language prompts, SDXL for weighted-token prompts, Midjourney for stylistic prompts. The fix is not in the prompt; it is in choosing a different model. The image-to-prompt generator page covers which model fits which input style.

When to score before rewriting

The temptation when a prompt is not working is to start rewriting it. The faster move is usually to score it first. The prompt analyzer takes a prompt and rates it on specificity, model fit, and stylistic clarity, with concrete suggestions per weakness. About 60 percent of the time the score reveals the prompt is not actually broken — it is missing one specific element that the analyser flags directly. Adding that element is much smaller than a rewrite.

The other 40 percent of the time, the score makes the rewrite faster because it tells you what to keep. Rewriting blind tends to lose elements that were working; rewriting from a score lets you preserve them.

Why each tool is separate instead of one “make-this-better” button

The most common shape of an AI prompt tool is “paste prompt, click button, get improved prompt.” That pattern works for cases where the input is generally good and just needs polish, but it fails for the cases above — too short, too long, structurally wrong, or fine-but-misfit. A single “improve” tool tends to apply the same kind of fix to every input, which means it is right about a quarter of the time and wrong the rest.

Splitting the work means each tool can apply the right kind of fix for the case it was designed for. The enhancer assumes the prompt is roughly right and adds polish. The expander assumes it is too short and adds detail. The shortener assumes it is too long and trims. The rewriter assumes it is structurally wrong and reorganises. Picking the right tool requires a small diagnosis up front, but the result is much closer to what you actually wanted.

Workflow integration patterns

Three patterns where these tools save the most time when used in combination, not in isolation.

The score-then-fix loop. Run the prompt through the analyzer, read the score, apply the suggested fix, regenerate the image, repeat if the score has not crossed your threshold. This is faster than blind rewrites because each iteration is informed.

The cross-model port. When migrating a working prompt from one model to another (e.g. Midjourney prompt to Flux, or SDXL prompt to Gemini), the rewriter does the format translation. The original is preserved and the structure is adapted. This is much faster than rewriting from scratch and tends to land closer to the original intent.

Multilingual prompt prep. For workflows where the same prompt needs to work in multiple languages, the prompt translator preserves the technical anchors (parameters, weights, model-specific syntax) and translates only the descriptive content. Naive translation breaks prompts because translators normalise things like --ar 16:9 or (detailed:1.3) as ordinary text.

What these tools are not for

Two cases where reaching for a prompt tool is the wrong move and a different solution is faster.

You have a single image you want to recreate. The right tool is in the image-to-prompt cluster, not here. Image-to-prompt generates a fresh prompt from a reference image. Prompt-tools modify existing prompts. Different inputs, different jobs.

You want a finished prompt with no review. All nine tools produce drafts, not finished prompts. The output of any of them needs at least a quick read-through before submitting to the image generator. The tools save the staring-at-a-blank-prompt step, not the writing step.

Complete your workflow

Better prompts are step one

Once the prompt is dialled in, the rest of the VisionPrompt clusters handle the adjacent work — getting prompts from images, captioning the output, pulling analysis from the result.

Ready?

Paste your prompt. Get a working version back.

Pick a tool, paste a prompt, copy the fixed result. Free forever. No account. No model lock-in.

✨ Start with Prompt Enhancer