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LocalRedact vs RedactFile

LocalRedact

github.com

RedactFile

redactfile.com

Side by side

FigureLocalRedactRedactFile
Price fromFree$7.20/mo
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published13
Spec score · Document Redaction Software8.4 (#7)7.7 (#16)
DetectionSupported targets include personal, financial, government, health, and credential data, plus quoted exact values and selected page or layout instructions.The product describes OCR and PII detection for names, emails, phone numbers, IDs, account data, and addresses, including in scanned PDFs.
VerificationAfter writing output, it reopens the PDF and checks that detected values are no longer extractable.RedactFile publishes redaction tests and provides a checker for inspecting recoverable text and other hidden file data.

Plans

LocalRedact

  • LocalRedactFree

LocalRedact pricing →

RedactFile

  • FreeFree
  • Dev$29 a month
  • Pro$86.40 a year

RedactFile pricing →

In their own words

LocalRedact

LocalRedact is a free, open-source PDF redaction tool that follows plain-English instructions using deterministic rules. It removes text beneath redacted areas and blanks image pixels where those areas overlap. Detection can target personal, financial, government, health, and credential data, as well as quoted values and selected page or layout instructions. Processing happens locally: the project says it uses no LLM, cloud API, telemetry, or model download, and reads text and coordinates with PyMuPDF. By default, it removes common PDF extras such as metadata, embedded files, JavaScript, links, and saved form state. After saving, it reopens the document and checks whether detected values remain extractable. Interfaces include a Python API, two command-line tools, and an optional HTTP service. Scanned PDFs can use locally installed Tesseract; image-only pages fail closed without OCR by default. The package requires Python 3.10 or later and is available for Windows, macOS, and Linux. The project calls the software alpha and warns that detection is best effort, not a compliance certification. It recommends visually reviewing high-stakes output.

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RedactFile

RedactFile is a web and API service for identifying and removing sensitive information from documents and images before sharing them. Its OCR and PII detection can find names, emails, phone numbers, IDs, account data, and addresses, including in scanned PDFs. Users can review matches, add redaction marks themselves, apply changes, and export a protected copy. Methods include black boxes, blur, pixelation, masking, replacement labels, and removal. File cleanup tools check metadata, comments, author data, OCR layers, annotations, bookmarks, embedded files, forms, and scripts. Some supported browser workflows process files locally; upload, dashboard, public-link, and API workflows may use RedactFile infrastructure and storage. The external v1 API supports OCR and structured extraction through JSON requests with document URLs and an API key; documentation includes JavaScript and Python examples and signed asynchronous webhooks. RedactFile publishes tests and a checker for examining recoverable text and hidden file data. It cautions that the service is not a compliance certification or guarantee that every document is safe to disclose, and recommends manual validation for regulated disclosures. The free plan costs nothing and has a 2MB upload limit, 10 daily uploads, 500MB storage, and no API.

Visit redactfile.com