LocalRedact vs PDFRedaction
LocalRedact
github.comPDFRedaction
pdfredaction.comSide by side
| Figure | LocalRedact | PDFRedaction |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Document Redaction Software | 8.4 (#7) | 7.5 (#17) |
| Compliance | The project describes its detection as best effort and says it is not a compliance certification. | PDFRedaction states that its local-processing architecture supports GDPR, HIPAA, CCPA, GLBA, PCI DSS, SOX, FERPA, and FOIA requirements. |
Plans
PDFRedaction
- FreeFree
- EnterprisePriced on request
- ProfessionalPriced on request
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.
PDFRedaction
PDFRedaction is a browser-based tool for detecting and permanently removing sensitive information from documents. Its AI detection, analysis, and redaction run locally in an isolated browser context, and document content, extracted text, PII values, and redacted output are not transmitted to its servers. The service detects more than 50 types of personally identifiable information, including names, contact details, financial identifiers, and medical IDs. OCR covers scanned PDFs and image-based documents, with layout preserved in PDF output. Redaction removes sensitive text and covers it with solid black rectangles. The tool also scans PDFs for malicious elements and strips them during export. Users can add a signature image or sign on screen, then position and resize signatures or stamps in the browser. It supports PDF, image, text, and data formats. Registered users can process up to 10 documents per day on the free plan; processing pauses when the quota is reached. Professional and Enterprise plans are not currently available for purchase.