AI Prompt Enhancer API
$5 Free Credits

Stop guessing prompts. Every AI model has its own prompting system — FLUX needs different syntax than LTX or Kokoro. Prompt Enhancer uses dedicated guides from official sources (HuggingFace, GitHub) for each model and inference type, so your prompts produce the highest quality output every time. Works across images, video, speech, and image editing.

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Why deAPI for
prompt boosting?

Every model speaks a different language. FLUX wants structured scene descriptions. LTX expects motion directives. Kokoro needs phonetic markers. Writing the perfect prompt for each model takes hours of reading docs — or one API call to Prompt Enhancer. We built dedicated guides from official model sources so the AI knows exactly how each model works.

Model-Specific Guides

Built from official HuggingFace and GitHub docs for each model. Not generic — tailored to how FLUX, LTX, Kokoro, and Chatterbox actually work.

4 Inference Types

Dedicated endpoints for text-to-image, image-to-image, text-to-video, and text-to-speech. Each one optimized for its domain.

Fraction-of-a-Cent Cost

Prompt enhancement costs a fraction of the generation itself. A tiny investment that dramatically improves output quality.

Instant — No Queue

Synchronous response. Send a prompt, get an enhanced version back in the same request. No polling, no waiting.

The Prompting Problem

Your users don’t know how to write prompts for each model — and neither should they have to

Without Prompt Enhancer

User prompt

"a cat sitting on a chair"

Generic, lacks detail — model guesses the rest
No model-specific syntax or keywords
Inconsistent quality, frequent retries
Wastes credits on subpar generations

With Prompt Enhancer

Enhanced prompt

"A majestic tabby cat sitting regally on a vintage wooden chair, detailed fur texture, warm afternoon light streaming through a window, shallow depth of field, professional photography, 8k resolution"

Rich detail: lighting, texture, composition, style
Optimized for the target model’s syntax
First-try quality — fewer retries, less waste
Also generates a negative prompt to avoid artifacts

Four Dedicated Endpoints

Each endpoint is trained with model-specific guides — pick the one that matches your generation type

Text-to-Image Prompt Enhancement

What it does

Transforms a simple text prompt into a detailed, model-optimized description for FLUX-2 Klein or Z-Image. Adds lighting, composition, style keywords, and quality markers that the image model responds to best. Also generates a negative prompt to prevent common artifacts.

API workflow

POST to /prompt/image with your prompt and optional negative_prompt. Receive the enhanced prompt and negative prompt synchronously. Then pass them directly to /txt2img.

Endpoint Details

POST /prompt/image Sync

Optimized for FLUX-2 Klein, Z-Image Turbo

Guide: HuggingFace FLUX docs + best practices

Request Example

{
  "prompt": "a cat on a chair",
  "negative_prompt": "blurry"
}

Tip: Always use the price calculation endpoint /prompt/image/price-calculation first to check the cost before enhancing.

Text/Image-to-Video Prompt Enhancement

What it does

Rewrites prompts for video generation models like LTX-2.3. Adds motion directives, camera movement descriptions, temporal consistency cues, and scene pacing that video models need but image models don’t. Supports optional source image for image-to-video workflows.

API workflow

POST multipart to /prompt/video with your prompt, optional negative_prompt, and optional source image. Get an enhanced video prompt tuned for LTX-2.3 motion synthesis.

Endpoint Details

POST /prompt/video Multipart

Optimized for LTX-2.3 video generation

Guide: LTX-Video GitHub + motion prompting docs

What Prompt Enhancer Adds

Camera movement (pan, zoom, dolly)
Motion directives (speed, direction, subject movement)
Temporal consistency cues
Scene pacing and transition instructions

Tip: Include a source image for image-to-video — the booster will describe the image content and add appropriate motion directives.

Image-to-Image Prompt Enhancement

What it does

Optimizes editing instructions for image-to-image models like FLUX-2 Klein and Qwen Image Edit. Adds precise transformation directives, preservation hints (what to keep unchanged), and model-specific editing syntax that yields cleaner, more predictable edits.

API workflow

POST multipart to /prompt/image2image with your editing prompt, optional negative_prompt, and the source image. Get back an enhanced editing instruction optimized for img2img models.

Endpoint Details

POST /prompt/image2image Multipart

Optimized for FLUX-2 Klein img2img, Qwen Image Edit

Guide: FLUX img2img + Qwen editing docs

What Prompt Enhancer Adds

Precise transformation instructions
Preservation hints (keep subject, change background)
Source image analysis for context-aware edits
Negative prompt to avoid unwanted changes

Text-to-Speech Prompt Enhancement

What it does

Optimizes text for TTS models like Kokoro, Chatterbox, and Qwen TTS. Adds punctuation for natural pacing, fixes abbreviations, inserts SSML-style markers where appropriate, and structures the text for the most natural-sounding speech output.

API workflow

POST to /prompt/speech with your text and optional language code. Get back optimized text ready for TTS models. Then pass it directly to /txt2speech.

Endpoint Details

POST /prompt/speech Sync

Optimized for Kokoro, Chatterbox, Qwen TTS

Guide: Kokoro phonetics + Chatterbox voice docs

What Prompt Enhancer Adds

Natural punctuation and pacing
Abbreviation expansion (Dr. → Doctor)
Number and date verbalization
Language-aware formatting

Who Uses Prompt Enhancer?

SaaS Platforms with AI Features

Your users type simple prompts. Prompt Enhancer silently enhances them before generation, so every user gets professional results — no prompt engineering skills needed. Reduce support tickets and increase satisfaction.

Content Creation Pipelines

Automate content production: boost prompts for images, video, and voiceover in a single pipeline. Feed user briefs through Prompt Enhancer before each generation step for consistent, high-quality output at scale.

Industries & Use Cases

SaaS & Apps B2B

Hide prompt complexity from end users, deliver pro-quality AI output

E-Commerce Retail

Boost product descriptions into perfect image/video generation prompts

Marketing Agencies Creative

Turn campaign briefs into optimized prompts for images, video, and voiceover

E-Learning EdTech

Generate consistent visual + audio content from lesson plans

AI Developers DevTools

Add prompt optimization to any AI pipeline with a single API call

See Prompt Enhancer in Action

Watch how a simple 5-word prompt transforms into a detailed, model-optimized description that produces dramatically better results. One API call, instant response, better output.

One API call per enhancement — synchronous response
Works with all deAPI generation endpoints
Price calculation endpoint to check cost before boosting

Frequently Asked Questions

Prompt Enhancer takes your simple text prompt and rewrites it using model-specific knowledge sourced from official documentation (HuggingFace model cards, GitHub repos). It adds the technical details, style keywords, negative prompts, and syntax that each model responds to best — so you get professional-quality output on the first try instead of guessing and retrying.
You can — but every model has different prompting rules. FLUX wants structured scene descriptions with quality markers. LTX needs camera motion directives. Kokoro benefits from phonetic formatting. Learning each model’s optimal prompt format takes hours of reading documentation. Prompt Enhancer encodes all of that knowledge and applies it in milliseconds. More importantly, if you’re building a product, your end users won’t learn prompt engineering — Prompt Enhancer does it for them.
Prompt Enhancer has dedicated guides for all models available on deAPI: FLUX-2 Klein and Z-Image Turbo for text-to-image, FLUX-2 Klein and Qwen Image Edit for image-to-image, LTX-2.3 for video generation, and Kokoro, Chatterbox, and Qwen TTS for speech. Each guide is built from the model’s official HuggingFace and GitHub documentation.
Synchronous. Unlike generation endpoints that use async job queues, Prompt Enhancer returns the enhanced prompt directly in the HTTP response. No polling, no webhooks — just POST your prompt and get the enhanced version back immediately. This makes it easy to chain: boost the prompt first, then pass the result to any generation endpoint.
Yes. Every prompt endpoint has a matching price-calculation endpoint: /prompt/image/price-calculation, /prompt/video/price-calculation, /prompt/speech/price-calculation, and /prompt/image2image/price-calculation. Call it with the same parameters to get the exact cost before committing.
Yes. For image and image-to-image endpoints, Prompt Enhancer returns both an enhanced prompt and an enhanced negative prompt. The negative prompt helps prevent common artifacts like blurriness, distortion, watermarks, and other quality issues that the model might otherwise produce.
Generic LLMs write prompts based on general knowledge. Prompt Enhancer is trained with dedicated guides sourced from each model’s official documentation — HuggingFace model cards, GitHub repos, and best practice guides. It knows the exact syntax, keywords, and structure that FLUX-2 Klein, LTX-2.3, Kokoro, and other models respond to. It’s also a single API call that fits directly into your pipeline — no chat interface, no manual copy-pasting.
Yes. Prompt Enhancer is synchronous and stateless — it scales horizontally with no bottlenecks. Send thousands of enhancement requests in parallel. There are no queues to wait in, no job IDs to track. Each request is independent and returns immediately.

Boost your first prompt
in under a minute

One API call. Dramatically better output. Start with $5 free credits — no subscription, no credit card.

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