Ai Photo Colorizer
Playground
Try it on WavespeedAI!AI Photo Colorizer automatically adds color to black-and-white photos. Upload a grayscale image and get a colorized result. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Features
AI Photo Colorizer
Bring old black-and-white photos back to life. AI Photo Colorizer analyzes the content of your image and applies realistic, natural-looking color — breathing new life into vintage portraits, historical photographs, and classic film stills.
Upload a black-and-white photo and watch history come alive in full color.
Why You’ll Love It
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Realistic, natural colorization AI intelligently infers colors based on scene content — skin tones, foliage, skies, and fabrics all come out looking believably true to life.
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Works on any black-and-white image Portraits, landscapes, street scenes, archival photos — the model handles a wide range of subjects with impressive accuracy.
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One-click simplicity Upload a photo, hit Run, done. No manual selections, no color picking, no editing skills required.
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Instantly shareable results Download your colorized photo and share it straight away.
How to Use
- Upload your black-and-white image — a clear, well-preserved photo gives the best results.
- Hit Run — AI colorizes the image in seconds.
- Download and share your newly colorized photo.
Pricing
Just $0.05 per image.
Best Use Cases
- Family history — Colorize old portraits of grandparents and ancestors for a deeply personal and emotional result.
- Historical photography — Give archival and documentary images a vivid new perspective.
- Creative projects — Add color to vintage-style art, film stills, or classic editorial photography.
- Restoration work — Complement photo restoration workflows with automatic colorization.
Pro Tips
- High-resolution scans of original photos produce the most detailed and accurate colorization.
- Photos with clear subjects and good contrast colorize better than faded or heavily damaged images.
- For best skin tone results, use portraits with visible facial detail and even lighting.
- Try colorizing the same photo multiple times — subtle variations can appear across runs.
Notes
- Image is the only required field.
- Ensure image URLs are publicly accessible if using a link rather than a direct upload.
- Please ensure your content complies with WaveSpeed AI’s usage policies.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-photo-colorizer" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the input image. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |