Products Vision SDKs
Available for trialPrivate image redaction SDK

RedactLens

Share the evidence. Review what stays private.

RedactLens is an image-redaction SDK that suggests regions to mask before an image is shared. Its central step is human review: inspect suggested text, face, and licence-plate regions, add missing masks, and approve the result.

Guided evaluation · Technical discovery · Trial access through our team

iOSAndroidFlutterOffline processing
01

Mask supported sensitive regions before an image leaves the device

02

Keep automated suggestions editable

03

Make human approval part of the export contract

Built around the
work that matters.

Explore how RedactLens works, then talk with us about trial access for your workflow.

01

Suggested sensitive regions

Detection can propose supported text patterns, faces, and licence plates for review.

02

Manual mask controls

The editor can let users add, adjust, or remove masks.

03

Required review step

The flow can ask the user to inspect the full image before approving an export.

04

Reviewed image export

An export can render approved masks into an output image for your application to handle.

A clear path from
setup to everyday use.

  1. Choose an image

    Bring the support, inspection, or document image into the review flow.

  2. Inspect every region

    Check suggested masks and add any sensitive content the detector has missed.

  3. Approve the output

    Review the masked image before your app exports or shares it through its own workflow.

How RedactLens
fits together.

A clear division between the product interface, processing layer, and the systems your team already owns.

01Detection pipeline

Suggest supported text patterns, faces, and licence-plate regions on device.

02Review editor

Add, resize, remove, and choose the masking treatment for each region.

03Export renderer

Flatten approved masks into a new output and return a review summary.

Built for integration,
not a closed box.

Trial onboarding confirms the exact environment, product boundary, and success criteria for your implementation.

Platforms & surfaces

iOSAndroidFlutterOffline processing

Connects with

DocuLensFeedbackKitPlateVisionCustomer file workflow
SuggestionsFaces, plates, configured text patterns
MasksSolid, blur, pixelate
OutputFlattened reviewed image
EvidenceReviewed-region summary
GuaranteeHuman inspection required

Deliberate boundaries
from the beginning.

  • Export cannot proceed until the review step is acknowledged
  • Users can add regions missed by detection
  • Original-file retention is controlled by the host app
  • Metadata handling is configured separately from visible masking

Made for real workflows.

Customer support platforms

For screenshot sharing that benefits from deliberate review of visible personal information.

Inspection software teams

For field images that may include bystanders, plates, or unrelated document details.

Document-sharing applications

For apps adding an explicit masking and approval step before image handoff.

Evaluate RedactLens
against real work.

We scope the trial around one meaningful workflow, the environments you use, and evidence your team can assess.

  1. 01

    Define sensitive region types and export policy

  2. 02

    Evaluate representative authorized images

  3. 03

    Measure missed and unnecessary suggestions

  4. 04

    Confirm review UX and downstream handling

What the evaluation includes

Product access for the agreed scope, technical onboarding, implementation guidance, and a review of the findings.

Discuss trial access ↗

Explore with confidence.

A closer look at the scope and trial experience for RedactLens.

How can I try RedactLens?

RedactLens is available through a guided trial. Tell us about your requirements, platform, and evaluation goals; our team will discuss fit, access, and the right trial scope with you.

Can the detector find all sensitive information?

No. Detection can miss regions or suggest unnecessary masks. The workflow requires people to inspect the complete image and add or adjust masks before export.

Can RedactLens manage the original file and all metadata?

Original-file retention and metadata handling need explicit application policies. The masking experience concerns visible image content; teams should validate export behavior for their workflow.

Bring us your
real workflow.

Share your platform, requirements, and evaluation goals. We'll discuss the product and arrange a focused trial where it fits.

Request a RedactLens trial ↗