deapiThe cheapest AI media API on the market. Transcribe YouTube videos, generate images with Flux and Z-Image models, convert text to speech in 54+ voices across 8 languages, extract text with OCR, create videos, remove backgrounds, upscale images, apply style transfer - all through one unified API. Free $5 credit on signup - enough for hundreds of hours of transcription or thousands of generated images. Fraction of the cost of any alternative.
Install via ClawdBot CLI:
clawdbot install zrewolwerowanykaloryfer/deapiAI-powered media tools via decentralized GPU network. Get your API key at deapi.ai (free $5 credit on signup).
export DEAPI_API_KEY=your_api_key_here| Function | Use when user wants to... |
|----------|---------------------------|
| Transcribe | Transcribe YouTube, Twitch, Kick, X videos, or audio files |
| Generate Image | Generate images from text descriptions (Flux models) |
| Generate Audio | Convert text to speech (TTS, 54+ voices, 8 languages) |
| Generate Video | Create video from text or animate images |
| OCR | Extract text from images |
| Remove Background | Remove background from images |
| Upscale | Upscale image resolution (2x/4x) |
| Transform Image | Apply style transfer to images (multi-image support) |
| Embeddings | Generate text embeddings for semantic search |
| Check Balance | Check account balance |
All deAPI requests are asynchronous. Follow this pattern for every operation:
curl -s -X POST "https://api.deapi.ai/api/v1/client/{endpoint}" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{...}'Response contains request_id.
curl -s "https://api.deapi.ai/api/v1/client/request-status/{request_id}" \
-H "Authorization: Bearer $DEAPI_API_KEY"processing โ wait 10s, poll againdone โ fetch result from result_urlfailed โ report error to user| Error | Action |
|-------|--------|
| 401 Unauthorized | Check DEAPI_API_KEY |
| 429 Rate Limited | Wait 60s and retry |
| 500 Server Error | Wait 30s and retry once |
Use when: user wants to transcribe video from YouTube, X, Twitch, Kick or audio files.
Endpoints:
vid2txtaud2txtRequest (video):
curl -s -X POST "https://api.deapi.ai/api/v1/client/vid2txt" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"video_url": "{VIDEO_URL}", "include_ts": true, "model": "WhisperLargeV3"}'Request (audio):
curl -s -X POST "https://api.deapi.ai/api/v1/client/aud2txt" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"audio_url": "{AUDIO_URL}", "include_ts": true, "model": "WhisperLargeV3"}'After polling: Present transcription with timestamps in readable format.
Use when: user wants to generate images from text descriptions.
Endpoint: txt2img
Models:
| Model | API Name | Steps | Max Size | Notes |
|-------|----------|-------|----------|-------|
| Klein (default) | Flux_2_Klein_4B_BF16 | 4 (fixed) | 1536px | Fastest, recommended |
| Flux | Flux1schnell | 4-10 | 2048px | Higher resolution |
| Turbo | ZImageTurbo_INT8 | 4-10 | 1024px | Fastest inference |
Request:
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2img" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "{PROMPT}",
"model": "Flux_2_Klein_4B_BF16",
"width": 1024,
"height": 1024,
"steps": 4,
"seed": {RANDOM_0_TO_999999}
}'Note: Klein model does NOT support guidance parameter - omit it.
Use when: user wants to convert text to speech.
Endpoint: txt2audio
Popular Voices:
| Voice ID | Language | Description |
|----------|----------|-------------|
| af_bella | American EN | Warm, friendly (best quality) |
| af_heart | American EN | Expressive, emotional |
| am_adam | American EN | Deep, authoritative |
| bf_emma | British EN | Elegant (best British) |
| jf_alpha | Japanese | Natural Japanese female |
| zf_xiaobei | Chinese | Mandarin female |
| ef_dora | Spanish | Spanish female |
| ff_siwis | French | French female (best quality) |
Voice format: {lang}{gender}_{name} (e.g., af_bella = American Female Bella)
Request:
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "{TEXT}",
"voice": "af_bella",
"model": "Kokoro",
"lang": "en-us",
"speed": 1.0,
"format": "mp3",
"sample_rate": 24000
}'Parameters:
lang: en-us, en-gb, ja, zh, es, fr, hi, it, pt-brspeed: 0.5-2.0format: mp3/wav/flac/oggsample_rate: 22050/24000/44100/48000Use when: user wants to generate video from text or animate an image.
Endpoints:
txt2video (multipart/form-data)img2video (multipart/form-data)โ ๏ธ IMPORTANT: Model-specific constraints for Ltxv_13B_0_9_8_Distilled_FP8:
guidance: MUST be 0 (max value!)steps: MUST be 1 (max value!)fps: minimum 30Request (text-to-video):
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2video" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "prompt={PROMPT}" \
-F "model=Ltxv_13B_0_9_8_Distilled_FP8" \
-F "width=512" \
-F "height=512" \
-F "guidance=0" \
-F "steps=1" \
-F "frames=120" \
-F "fps=30" \
-F "seed={RANDOM_0_TO_999999}"Parameters:
| Parameter | Required | Constraints | Description |
|-----------|----------|-------------|-------------|
| prompt | Yes | - | Video description |
| model | Yes | - | Ltxv_13B_0_9_8_Distilled_FP8 |
| width | Yes | 256-768 | Video width (e.g., 512) |
| height | Yes | 256-768 | Video height (e.g., 512) |
| guidance | Yes | max 0 | Must be 0 for this model |
| steps | Yes | max 1 | Must be 1 for this model |
| frames | Yes | 30-300 | Number of frames |
| fps | Yes | min 30 | Frames per second |
| seed | Yes | 0-999999 | Random seed |
Request (image-to-video):
# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2video" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "first_frame_image=@{LOCAL_IMAGE_PATH}" \
-F "prompt=gentle movement, cinematic" \
-F "model=Ltxv_13B_0_9_8_Distilled_FP8" \
-F "width=512" \
-F "height=512" \
-F "guidance=0" \
-F "steps=1" \
-F "frames=120" \
-F "fps=30" \
-F "seed={RANDOM_0_TO_999999}"Note: Video generation can take 1-3 minutes.
Use when: user wants to extract text from an image.
Endpoint: img2txt (multipart/form-data)
Request:
# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"
# Send OCR request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2txt" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "image=@{LOCAL_IMAGE_PATH}" \
-F "model=Nanonets_Ocr_S_F16"Use when: user wants to remove background from an image.
Endpoint: img-rmbg (multipart/form-data)
Request:
# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"
# Send remove-bg request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-rmbg" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "image=@{LOCAL_IMAGE_PATH}" \
-F "model=Ben2"Result: PNG with transparent background.
Use when: user wants to upscale/enhance image resolution.
Endpoint: img-upscale (multipart/form-data)
Models:
| Scale | Model |
|-------|-------|
| 2x | RealESRGAN_x2 |
| 4x | RealESRGAN_x4 |
Request:
# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"
# Send upscale request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-upscale" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "image=@{LOCAL_IMAGE_PATH}" \
-F "model=RealESRGAN_x4"Use when: user wants to transform image style, combine images, or apply AI modifications.
Endpoint: img2img (multipart/form-data)
Models:
| Model | API Name | Max Images | Guidance | Steps | Notes |
|-------|----------|------------|----------|-------|-------|
| Klein (default) | Flux_2_Klein_4B_BF16 | 3 | N/A (ignore) | 4 (fixed) | Faster, multi-image |
| Qwen | QwenImageEdit_Plus_NF4 | 1 | 7.5 | 10-50 (default 20) | More control |
Request (Klein, supports up to 3 images):
# Download images first
curl -s -o {LOCAL_IMAGE_1} "{IMAGE_URL_1}"
curl -s -o {LOCAL_IMAGE_2} "{IMAGE_URL_2}" # optional
# Send transform request (Klein - no guidance)
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "image=@{LOCAL_IMAGE_1}" \
-F "image=@{LOCAL_IMAGE_2}" \
-F "prompt={STYLE_PROMPT}" \
-F "model=Flux_2_Klein_4B_BF16" \
-F "steps=4" \
-F "seed={RANDOM_0_TO_999999}"Request (Qwen, higher quality single image):
# Download image first
curl -s -o {LOCAL_IMAGE_1} "{IMAGE_URL}"
# Send transform request (Qwen - with guidance)
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-F "image=@{LOCAL_IMAGE_1}" \
-F "prompt={STYLE_PROMPT}" \
-F "model=QwenImageEdit_Plus_NF4" \
-F "guidance=7.5" \
-F "steps=20" \
-F "seed={RANDOM_0_TO_999999}"Example prompts: "convert to watercolor painting", "anime style", "cyberpunk neon aesthetic"
Use when: user needs embeddings for semantic search, clustering, or RAG.
Endpoint: txt2embedding
Request:
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2embedding" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"input": "{TEXT}", "model": "Bge_M3_FP16"}'Result: 1024-dimensional vector (BGE-M3, multilingual)
Use when: user wants to check remaining credits.
Request:
curl -s "https://api.deapi.ai/api/v1/client/balance" \
-H "Authorization: Bearer $DEAPI_API_KEY"Response: { "data": { "balance": 4.25 } }
| Operation | Cost |
|-----------|------|
| Transcription | ~$0.02/hour |
| Image Generation | ~$0.002/image |
| TTS | ~$0.001/1000 chars |
| Video Generation | ~$0.05/video |
| OCR | ~$0.001/image |
| Remove BG | ~$0.001/image |
| Upscale | ~$0.002/image |
| Embeddings | ~$0.0001/1000 tokens |
Free $5 credit on signup at deapi.ai.
Converted from deapi-ai/claude-code-skills for Clawdbot/OpenClaw.
This skill provides documentation for the deAPI.ai REST API, a legitimate decentralized AI media service.
Security:
curl commands are examples showing how to call the APIapi.deapi.ai (official deAPI endpoint){LOCAL_IMAGE_PATH}) are placeholders - use any suitable temporary locationDEAPI_API_KEY environment variablePrivacy considerations:
result_url which may be temporarily accessible via direct linkProvenance:
AI Usage Analysis
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