LocalRedact vs Redacta

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.

Redacta is a free, open-source web tool for redacting or pseudonymising sensitive information in PDF files from plain-language instructions. It can identify and permanently remove names, email addresses, phone numbers, Social Security numbers, addresses, account numbers, and other personally identifiable information. It also detects embedded photos, signatures, logos, and screenshots for image redaction. Pseudonymisation replaces real names, addresses, and identifiers with fictional alternatives while keeping documents readable. Redacta says output PDFs retain their formatting, layout, fonts, and page structure. PDF parsing and redaction run in the browser through WebAssembly and MuPDF, and the site says files are not uploaded to a server. You provide your own Google Gemini or OpenAI API key, with requests sent directly to that provider. The free trial routes extracted text through a backend proxy. No signup, installation, watermarks, or usage limits are listed.