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Image Redaction Software
The same detection that runs on video, applied to stills. Faces, plates, identity documents and on-screen text, across 187 image formats, thousands of files at a time.
Why Teams Move
187
Image formats, out of 315 across all content types
Bulk
Hundreds of files per batch, queued and worked overnight
360°
Panoramas handled with projection-aware detection
What Makes Images Hard
It is never one image
It is four thousand, exported from a camera system nobody documented, and a per-file workflow is arithmetically impossible.
Quality and angle vary
Sideways, skewed, low light, photographed rather than scanned. The detector has to cope with what the archive actually holds.
One image discloses a lot
An ID card, driving licence or passport lying on a desk gives up every field in a single frame. Identity documents are a detected class in their own right for exactly that reason.
Mixed content
A scanned page that is really an image, carrying printed text, handwriting and a photograph together.
360 panoramas break flat tools
Treating an equirectangular image as a rectangle puts the mask in the wrong place. Detection converts between the projection and spherical coordinates.
Formats nobody planned for
The awkward ones come from legacy camera systems, scientific instruments and twenty-year-old archives — exactly the ones a tool supporting "JPG, PNG, TIFF, BMP and more" refuses.
Metadata survives redaction
Images carry GPS coordinates, device identifiers and author fields. Metadata is stripped or rewritten on export.
What You Can Redact
Faces and people
Persons, faces, heads and body parts
Licence plates
Detected and read as text
Vehicles
Cars, buses, trucks, bikes, boats, aircraft and trains
Weapons
Firearms and other weapons
Screens and devices
Monitors, laptops, phones and in-car terminals
Identity documents
ID cards, driving licences, passports and name tags
Text in the image
Recognised through OCR, including non-Latin scripts
Tattoos and street signs
Identifying marks and location clues
Image metadata
GPS coordinates, device identifiers, author fields
187 Image Formats
The platform carries 315 distinct extensions across five content types, and images are the largest group at 187.
That number does real work. The long tail is rendered through ImageMagick, so an obscure raster format previews in the browser without the software that created it.
DICOM medical imaging is handled separately, as imaging rather than as a generic image. It has its own page.
How It Works
Upload
Individually, as folders, or by API. No conversion step.
Detect
Automatically from the object classes you select, or draw regions directly.
Review
Correct, delete false positives, add what was missed.
Produce
Blur, pixelate or solid fill, with the original governed by a configured policy.
Where images share a layout — a recurring form, a standard ID scan — a template applies the same pattern across the batch.
Proof
Claims documents and checks
Text, tables and embedded images
Inspection photographs
Faces, plates, identity documents
Inspection video
Objects tracked across frames
Recorded calls
Spoken PII, one speaker at a time
An insurance claims operation runs redaction across all four formats as an automated stage in the claims-folder pipeline, rather than a task an adjuster performs. Detection rules are tuned to the data formats their own carriers send, so a recurring form or a standard ID scan is processed the same way every time.
Claims work is the clearest case for handling images alongside everything else. A document-only tool covers the statements and leaves the photographs, and the organisation ends up running two workflows and reconciling them by hand.
Compared With Doing It by Hand
| Photoshop or a viewer | Redactor |
|---|---|
| One file at a time | Hundreds per batch, queued |
| Draw every box yourself | Detection proposes, you correct |
| A flat tool distorts 360 panoramas | Projection-aware detection |
| Convert the awkward formats first | 187 formats in, no conversion |
| Metadata left in the file | Stripped on export |
Where It Runs
Shared SaaS, dedicated cloud, your own private cloud, on-premises, hybrid, or fully air-gapped.
FAQ
Image Redaction Software questions, answered
Can it process thousands of images at once?
Yes. Bulk image redaction is queued work that runs unattended, and bulk is permissioned per format, so authorising an operator for images does not authorise them for video.
How many image formats are supported?
187, out of 315 extensions across all content types. The long tail renders through ImageMagick, so an obscure raster format from a legacy camera or instrument previews in the browser without the software that created it.
Does it handle 360-degree panoramas?
Yes. Detection converts between the equirectangular projection and spherical coordinates, so the mask lands where the object actually is. A tool treating a panorama as a flat rectangle puts the box in the wrong place.
Can it redact text inside an image?
Yes. Text in an image is recognised through OCR and redacted like any other text, including in non-Latin scripts.
What about identity documents?
ID cards, driving licences, passports and name tags are a detected class in their own right, because a document lying on a desk discloses every field on it at once.
Are the image files still identifying after redaction?
Embedded metadata — GPS coordinates, device identifiers, author fields — is stripped or rewritten on export alongside the content redaction.
Name Your Awkward Format
Tell us the extension and we will tell you whether it ingests, previews and redacts — or send us a batch and we will run it.