Face Blur API for Production Pipelines
Ship programmatic face blur and redaction with Face Blur API. Authenticate once, submit image or video jobs, and receive privacy-safe outputs at scale.

Face Blur API for Engineering Teams
Integrate Face Blur API into your app, DAM, MAM, or review queue.
Why teams use Face Blur API
Face Blur API moves blur out of the browser and into your backend. Authenticate, POST media jobs, and pull redacted assets into the same pipelines you use for transcoding, storage, and delivery.
Teams adopt Face Blur API when manual masking becomes the bottleneck in publishing, evidence review, or UGC moderation.
Send image or video jobs via REST with API keys
Embed blur into DAM, MAM, and custom review tools
Scale batch jobs without browser upload limits
Preview detection results before committing export
Receive webhook callbacks when jobs complete
Combine with other BGBlur endpoints in the same pipeline
Where engineering teams deploy it
Built for backend throughput
Queue jobs from your server and process media in parallel instead of waiting on manual timeline edits or one-off browser uploads.
Explore Face Blur API
Read the API docs and run your first redaction job from curl or your backend.
Integrate Face Blur API in three steps
From API key to first redacted asset.
Get API credentials
Create a BGBlur API key, note rate limits, and choose face, plate, or general redaction mode for Face Blur API jobs.
Submit a job
Send a POST request with your API key and media URL. Poll the status endpoint or wait for the webhook payload with the redacted asset link.
Retrieve output
Download the redacted file from the response or your storage bucket hook. Log job IDs for compliance audits.
API capabilities
Face Blur API at a glance
What you get when integrating Face Blur API in real projects.

Detection-first workflow
AI proposes face regions before export so your team reviews instead of drawing masks from scratch.

REST or webhook delivery
Poll job status or receive callbacks when outputs land in your bucket or CDN.

Privacy-safe exports
Redacted files leave your pipeline ready for client delivery, archives, or public release.
Teams using similar workflows
How Face Blur API fits day-to-day media and compliance work.
“Face Blur API cut our redaction time from hours to minutes on last week's footage.”
“We shipped client-safe exports the same day instead of waiting on manual masking.”
“Webhooks and batch endpoints let us redact UGC at scale without touching a desktop editor.”
Face Blur API — FAQ
Common questions about Face Blur API, authentication, and privacy handling.
Faces, license plates, and general sensitive regions depending on the endpoint and redaction mode you select.
Developer tiers include sample credits. Production pricing depends on volume — review the API docs before rollout.
Include your BGBlur API key in the Authorization header or as a bearer token on every REST request.
Yes. Submit single files or batch payloads; long-form video is processed asynchronously with status polling or webhooks.
Job queued, processing, completed, and failed events can POST to your endpoint with signed payloads.
Media is processed for the job lifecycle with privacy-first handling. Files are not published as permanent public assets.
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View all tools →Developer API
Face Blur API for Production Pipelines
Ship programmatic face blur and redaction with Face Blur API. Authenticate once, send image or video jobs, and receive privacy-safe outputs at scale.
Integrate Face Blur API into your app, DAM, MAM, or review queue.
View API docs

