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Document Redactor vs LocalRedact

Document Redactor

documentredactor.com

LocalRedact

github.com

Side by side

FigureDocument RedactorLocalRedact
Price from€7/moFree
Free plan—Yes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published41
Spec score · Document Redaction Software7.8 (#13)8.4 (#7)
IntegrationsThe maker says redaction does not require a Microsoft cloud or Google Drive round-trip, and no integrations are listed on the pages reviewed.The base package depends on PyMuPDF, and the optional HTTP service can be installed with the server extra.
PurposeThe web-based service automates document redaction workflows for DSAR responses and GDPR compliance.LocalRedact is a private PDF redaction tool that processes plain-English instructions with deterministic rules.

Plans

Document Redactor

  • Lite€7 a month
  • Basic€21 a month
  • Enterprise€70 a month
  • Enterprise+€350 a month

Document Redactor pricing →

LocalRedact

  • LocalRedactFree

LocalRedact pricing →

In their own words

Document Redactor

Document Redactor has no write-up on Specifiction yet; its figures are above.

Visit documentredactor.com

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.

Visit github.com