Developer API

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.

REST
HTTP API
Batch
Job queues
SLA
Production use
Docs
Integration
Face blur API dashboard integration for automated video redaction pipelines

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

Send image or video jobs via REST with API keys

Embed blur into DAM, MAM, and custom review tools

Embed blur into DAM, MAM, and custom review tools

Browser Workflow

Scale batch jobs without browser upload limits

Preview detection results before committing export

Preview detection results before committing export

Receive webhook callbacks when jobs complete

Receive webhook callbacks when jobs complete

Combine with other BGBlur endpoints in the same pipeline

Combine with other BGBlur endpoints in the same pipeline

Where engineering teams deploy it

Archive cleanup use case for Face Blur API for Engineering Teams

Archive cleanup

Retroactively redact faces in legacy media libraries. keeps this workflow practical for repeated review, privacy cleanup, publishing, and team handoff without forcing editors to rebuild every mask or adjustment manually.

Client delivery use case for Face Blur API for Engineering Teams

Client delivery

Send privacy-reviewed exports from your pipeline. keeps this workflow practical for repeated review, privacy cleanup, publishing, and team handoff without forcing editors to rebuild every mask or adjustment manually.

Team handoff use case for Face Blur API for Engineering Teams

Team handoff

Standardize redaction across editors and QA. keeps this workflow practical for repeated review, privacy cleanup, publishing, and team handoff without forcing editors to rebuild every mask or adjustment manually.

Compliance workflows use case for Face Blur API for Engineering Teams

Compliance workflows

Log job IDs and outputs for audit trails. keeps this workflow practical for repeated review, privacy cleanup, publishing, and team handoff without forcing editors to rebuild every mask or adjustment manually.

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.

View API docs

Integrate Face Blur API in three steps

From API key to first redacted asset.

01

Get API credentials

Create a BGBlur API key, note rate limits, and choose face, plate, or general redaction mode for Face Blur API jobs.

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.mp4
02

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.

Background Blur
Face Blur
License Plate
03

Retrieve output

Download the redacted file from the response or your storage bucket hook. Log job IDs for compliance audits.

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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.
PN
Priya Nair
Staff EngineerMediaPipe SaaS
We shipped client-safe exports the same day instead of waiting on manual masking.
OG
Oliver Grant
CTOEvidenceVault
Webhooks and batch endpoints let us redact UGC at scale without touching a desktop editor.
EM
Elena Müller
Head of PlatformStreamVault GmbH
4.9/5from 3+ reviews

Face Blur API — FAQ

Common questions about Face Blur API, authentication, and privacy handling.

What does Face Blur API detect automatically?

Faces, license plates, and general sensitive regions depending on the endpoint and redaction mode you select.

Is Face Blur API free to try?

Developer tiers include sample credits. Production pricing depends on volume — review the API docs before rollout.

How do I authenticate API requests?

Include your BGBlur API key in the Authorization header or as a bearer token on every REST request.

Does the API support video and batch jobs?

Yes. Submit single files or batch payloads; long-form video is processed asynchronously with status polling or webhooks.

What webhook events are available?

Job queued, processing, completed, and failed events can POST to your endpoint with signed payloads.

How is uploaded media handled for compliance?

Media is processed for the job lifecycle with privacy-first handling. Files are not published as permanent public assets.

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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
Free to startAPI docsPrivacy-first export
API face detection pipeline processing video frames at scale