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Private beta · launch access by request

Fast, affordable image AI, ready to use.

Find faces, analyze portraits, and remove portrait backgrounds with our live APIs. Access is by approval; check each service for current availability.

We build it. We test it. We host it. You call one API.

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  • Fast and benchmarked
  • Priced per image
  • Rights-reviewed for commercial use
  • Securely hosted
curl https://pixeldepot.ai/v1/face/analyze \ -H "Authorization: Bearer $PIXELDEPOT_KEY" \ -F "image=@guest.jpg"

Detected

face_1 · 0.9997
synthetic sample

1536 × 2048
184 ms · 1 face

Face Analyze

An image in. Structured data out.

  • Face bounding boxes
  • Attribute estimates
  • Confidence scores

Illustration and example response.

View example JSON
{ "faces": [{ "id": "face_1", "confidence": 0.902, "bounding_box": { "x": 390, "y": 706, "width": 781, "height": 780 }, "attributes": { "estimated_age": { "range": "18-64", "estimate": 26 }, "perceived_gender_presentation": { "label": "Female", "confidence": 0.994 }, "has_glasses": { "label": "yes", "confidence": 0.968 } } }], "meta": { "release_status": "experiment" } }

Explore the services

Your next image workflow starts here.

Face Detect, Face Analyze and Background Removal are live. Face Swap is in development. See what each service returns and who can use it today.

  • Live

    Face Analyze

    A bounding box per face, then estimated age, perceived gender presentation, apparent ancestry and whether the face is wearing glasses, each with a calibrated confidence and a flag saying whether it cleared its validated bar.

    Returns
    Face boxes + attribute estimates

    Apparent-attribute features are unavailable for EU processing.

    API endpoint

    /v1/face/analyze

    PixelDepot Face v1

    Read the API docs
  • Live

    Face Detect

    Geometry only, no attributes, no retention. Count and crop faces in a crowd shot with our lowest per-image rate.

    Returns
    Face boxes + detection confidence

    API endpoint

    /v1/face/detect

    PixelDepot Face v1

    Read the API docs
  • LiveNew service

    Background Removal

    Turn a portrait into a transparent PNG. Inspect the cutout against different backgrounds and download its alpha matte in the playground.

    Returns
    Transparent PNG + downloadable alpha matte

    Live for allowlisted owner accounts, when enabled. Experimental portrait processing; group portraits can miss people. Wider access awaits quality and release review.

    Ticket endpoint

    /v1/background/removal-tickets

    Portrait matting

    Read the API docs

Next in the catalog

These services are not available yet. Access opens after rights review and evaluation.

  • In development

    Face Cutout

    Extract a transparent PNG of the head and hair (including ears, beard, eyewear and headwear) while removing the neck, torso and background.

    Planned endpoint/v1/face/cutout

  • In development

    Face Swap

    Face swapping with a reference photo and a target image. Planned for a future release; not available yet.

    Planned endpoint/v1/face/swap

  • License review

    Restore & Upscale

    Denoise, sharpen and 2x to 4x upscale for print output from booth-quality captures.

    Planned endpoint/v1/image/enhance

  • License review

    Image to Image

    Style and scene transforms with a fixed prompt contract, so results stay predictable across a run.

    Planned endpoint/v1/image/transform

  • Planned

    Face Recognition

    Galleries and 1:N matching, gated behind biometric-privacy and commercial-licensing sign-off.

    Planned endpoint/v1/face/match

Live services are deployed; access restrictions still apply. Background Removal is available to allowlisted owners for evaluation. Wider production release requires quality review and approval of code, weights, training-data rights and dependencies.

The problem

Image AI is moving faster than anyone can put it in production.

A convincing demo reel does not tell you:

  • Whether the model is truly production-ready.
  • Whether the rights behind it allow commercial use.
  • Whether it performs reliably outside its demo images.
  • How to host, optimize, scale and maintain it.

PixelDepot handles all of this.

How PixelDepot works

From research to production API.

  1. Research

    We follow the state of the art in image AI and select the capabilities worth shipping.

  2. Verify

    We review the rights behind every model: code, weights, training data and dependencies.

  3. Evaluate

    We benchmark accuracy, speed, hardware requirements and real-world performance.

  4. Improve

    When necessary, we train, fine-tune, optimize or combine models.

  5. Deploy

    We securely host the selected models and expose them through one consistent API.

Your first face API request.

For approved private beta accounts: sign in, create a key, and send an image. Background removal uses a separate ticket flow with allowlisted owner access.

  1. Create a key

    Sign up, name a project, reveal the secret once. Live and test keys are separate and revocable.

    pd_live_7e77c8deb5fc4b958c0…

  2. Hand us an image

    Send the bytes as multipart/form-data in an image part. JPEG, PNG or WebP, up to 10 MB and 50 megapixels once decoded.

    -F "image=@person.jpg"

  3. Read the JSON

    One synchronous call. Stable error codes, the request ID in every log line, and the exact model digest that produced the result.

    POST /v1/face/analyze → 200

The four-gate rights review

Vision APIs you're actually allowed to ship.

A model is more than its code. Weights, training data and bundled components each carry rights of their own, and any one of them can block commercial use. We treat missing, research-only and unclear as blocked, and the paperwork exists for every model you call.

  1. Model code license
  2. Model weight license
  3. Training-dataset rights inherited by the weights
  4. Bundled dependency and component licenses

Ask us for the rights dossier behind any service you call and we will send it.

Stateless by default

Neither face service creates an enrollment record or stores an embedding. Analyze images and results expire after 7 days; Detect retains no image or response geometry.

Your images stay yours

No customer image is ever used for training without a separate, explicit consent agreement. EXIF is stripped on ingest.

Apparent, not actual

Ancestry and gender outputs are visual classifications with calibrated confidence and an unknown outcome. Never proof of identity, and never for hiring, credit, housing or policing.

Reproducible releases

Every response names the model versions and SHA-256 weight digests behind it, so you can pin a version and diff a regression.

Small per-image prices. One shared balance.

Plan your usage with a rate for each service. Face APIs start at $0.001 per image; portrait background removal is proposed from $0.03. Only successful images would count toward paid usage.

Provisional · pricing finalizes at GA

No checkout is live today. Face Analyze and Face Detect are currently free within account limits.

Proposed paid plan: $29 / month in usage credit

A $29 monthly minimum per organization, fully applied to usage across released services. Pay the greater of $29 or your metered usage, not both. Unused monthly credit would not roll over. USD, before tax.

Example: 1,000 Face Detect images meter at $1, but the proposed monthly bill is $29. At $40 of usage, the bill is $40.

  • Face Analyze

    /v1/face/analyze

    Live
    Today
    Free during beta
    Proposed rate
    $0.002 / image$2.00 / 1,000 images
    Billed unit
    Successful image

  • Face Detect

    /v1/face/detect

    Live
    Today
    Free during beta
    Proposed rate
    $0.001 / image$1.00 / 1,000 images
    Billed unit
    Successful image

  • Background Removal

    /v1/background/removal-tickets

    Live
    Today
    Live · owner access
    Proposed rate
    $0.03 / imageUp to 12 MP · $30 / 1,000 images$0.05 / image above 12 MP, up to 24 MP. Proposed only; wider access pending.
    Billed unit
    Successful image

  • Face Cutout

    /v1/face/cutout

    In development
    Today
    Not available
    Proposed rate
    After benchmarkNo estimate published
    Billed unit
    Successful image

  • Face Swap

    /v1/face/swap

    In development
    Today
    Not available
    Proposed rate
    After benchmarkNo estimate published
    Billed unit
    Successful image

  • Restore & Upscale

    /v1/image/enhance

    License review
    Today
    Not available
    Proposed rate
    After benchmarkNo estimate published
    Billed unit
    Successful image

  • Image to Image

    /v1/image/transform

    License review
    Today
    Not available
    Proposed rate
    After benchmarkNo estimate published
    Billed unit
    Successful image

  • Face Recognition

    /v1/face/match

    Planned
    Today
    Not available
    Proposed rate
    After benchmarkNo estimate published
    Billed unit
    Match request

Paid plans will be sold by Paddle, our merchant of record. No charges are being collected today. Paddle checkout is not active yet.

Public price comparison

Compare the rate. Check the commitment.

Our proposed Face Detect unit rate matches AWS and is 33% below Google Cloud Vision. Our standard portrait removal is proposed at $0.03; Photoroom Basic lists a lower rate of $0.02. Monthly minimums and service capabilities differ.

Public USD list prices checked September 26, 2026

  • $1 / 1,000Face Detect unit rate, matching the AWS entry tier
  • $0.03 / imageProposed portrait removal, up to 12 MP
  • $0 todayBoth face APIs during beta, within account limits
PixelDepot image API prices compared with public competitor list prices
ProviderServiceUSD / 1,000Billing basisPrice context
PixelDepotFace Detect$1.00Proposed $29 monthly minimum, shared across servicesSame unit rate as AWS; 33% below Google
PixelDepotFace Analyze$2.00Proposed $29 monthly minimum, shared across servicesBoxes and apparent attributes; providers return different fields
PixelDepotBackground Removal$30.00Proposed $29 monthly minimum; up to 12 MPPortraits only; live with owner access. Above 12 MP to 24 MP: $50 / 1,000
AWS RekognitionDetectFaces$1.00First 1 million Group 2 images each monthIncludes face attributes; lower unit rates at higher volumes
Google Cloud VisionFace Detection$1.50Requests 1,001 through 5 million each monthFirst 1,000 free; $0.60 above 5 million
Luxand.CloudBundled Face API$3.80$19 / month for 5,000 requests on LiteEffective rate at full use; broader face feature bundle
PhotoroomRemove Background API$20.00Basic starts at $20 / month for 1,000 imagesGeneral subjects; recommends up to 25 MP. Unused images do not roll over

Unit rates are normalized to 1,000 requests, before free allowances and minimums. PixelDepot proposes a $29 monthly minimum, so a lower unit rate does not always mean a lower bill. Our portrait removal costs more than Photoroom Basic at both resolution tiers. Features, quality, limits, volume discounts, storage and taxes differ; this is not a claim of equivalent results. PixelDepot rates remain provisional.

  • Private beta

    $0/ within account limits

    Evaluate the live face APIs with approved beta access. No payment required today.

    • Face Detect + Face Analyze
    • Usage subject to account limits
    • Test + live keys
    • Community support
    Request launch access

  • Proposed launch plan

    Proposed

    $29/ month in usage credit

    One monthly minimum across released services, fully credited to that month's usage.

    • Face Detect: $0.001 / image
    • Face Analyze: $0.002 / image
    • Background removal from $0.03, after wider release
    • Usage above $29 at the same unit rates
    • Unused monthly credit does not roll over
    • Usage + latency dashboard
    Request launch access

  • On-premises

    Custom/ annual

    The same Docker inference plane running inside your own network or venue.

    • Self-hosted GPU or CPU image
    • Air-gapped deployment
    • Model pinning + private builds
    • Named engineer at GA
    Request launch access

Use case · migration

Replacing Kairos? Start with Face Analyze.

Face Analyze covers the attribute half of Enroll -- age, gender presentation, ancestry and glasses -- without creating a recognition record for someone who just walked past a photo booth. The geometry half is thinner: a box per face, and no landmarks, pose or quality score. The table below is the whole map.

See the field mapRequest launch access

Kairos Enroll

PixelDepot v1

topLeftX / topLeftY / w / h
bounding_box
age
attributes.estimated_age
gender.type + confidences
attributes.perceived_gender_presentation
asian / black / hispanic / white
attributes.apparent_ancestry
glasses
attributes.has_glasses
leftEyeCenter / rightEyeCenter
no equivalent
eyeDistance
no equivalent
yaw / pitch / roll
no equivalent
quality
no equivalent
lips
no equivalent

The gallery fields (face_id, subject_id, gallery_name) have no equivalent: Face Analyze returns the analysis without enrolling anyone. Errors arrive as HTTP status codes, not as 200 with an Errors array.

Questions we get asked

Before you put us in a proposal.

Can I call the API today?

Approved private beta users can issue a key from the console and call POST /v1/face/analyze or /v1/face/detect. Everyone else can request launch access. Every other service in the catalog carries its own status badge.

Can I try background removal?

Background Removal is live for explicitly allowlisted owner accounts, when enabled in the playground. It returns a transparent PNG, with an alpha matte available to download. Portrait processing remains experimental and group portraits can miss people. It is not open to general beta accounts or approved for general production use; request launch updates to hear when wider access opens.

When do the other services arrive?

When each one passes its rights review and its evaluation, and not before. We would rather miss no date than miss a date we published. The catalog badges track where each service stands, and the beta list hears first when one opens.

Can I process EU images?

Geometry, pose and quality: yes. Apparent-attribute features, including apparent ancestry and apparent gender, are unavailable for EU processing, because the EU AI Act prohibits biometric categorization used to infer them. Where the server sits does not change that, so hosting in the US is not a workaround.

What about US biometric law?

Illinois BIPA and Texas CUBI govern collecting face geometry, and they apply to you as the operator of the booth or app. Neither face service creates an enrollment record or identity template, which is a much smaller footprint than recognition, but it does not remove your notice and consent obligations. This is a description of our product, not legal advice.

What happens to the images I send?

Face Analyze images and results are retained for 7 days so your account can show what came back, then deleted automatically. We monitor the oldest surviving payload so a stalled deletion job is visible. Face Detect retains neither the image nor response geometry and shows operational metadata only. Background Removal processes images in memory without retaining uploads or cutouts on the server; download the result to keep it. No face embedding is stored, and no customer image trains a model without a separate written agreement.

Who am I actually buying from?

PixelDepot is operated by Foto Master Ltd, Ilan Ramon 5, Ness Ziona, Israel, and paid plans will be sold by Paddle.com Market Limited as merchant of record, the same arrangement as our other products. Paddle handles payment, tax and refunds. No charges are being collected today. Paddle checkout is not active yet.

How would the proposed paid pricing work?

The proposed launch plan has a $29 monthly minimum per organization, fully applied to successful-image usage across released services. Your bill would be the greater of $29 or your metered usage, before tax. Unused monthly credit would not roll over. These rates are provisional, background removal still awaits wider release, and no checkout or charges are live today.

Is there an SLA?

There is no contractual SLA today. We target 99.9% availability for released services at GA. Contractual commitments for paid plans will be defined before launch; contact us about your requirements.

What if a model gets pulled for license reasons?

It can happen, and it is the reason the four-gate review exists. Every response names the model version and the SHA-256 digest of the weights behind it, so you can pin a version and see exactly what changed. If a license position changes under a service you are calling, you hear it from us with the reason.

Can I run it myself?

That is the On-premises plan: the same Docker inference plane inside your own network or venue, including air-gapped deployment and pinned model versions. Tell us on the beta form and we will scope it with you.

Join the waitlist.

PixelDepot is in private beta. Request access and we will contact you when we release.

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