Excise vs LocalRedact

Excise is a free, open-source PDF editor for Windows, macOS, and Linux. Its central feature is permanent redaction: it removes text, images, and vector graphics from PDF content rather than placing a visible cover over them. By default, the cleanup also removes metadata, attachments, JavaScript, thumbnails, and hidden layers, and reports those removals. The app handles search, text selection and copying, annotations, page organization, Bates numbering, file-size reduction, and AcroForm filling, flattening, and creation. Its command-line tools support batch work and stable JSON output; `unredact` checks for leaked redacted text, while `audit` looks for text beneath opaque overlays. Excise reads and writes AES-128 and AES-256 encryption and inspects digital signatures against the operating system trust store. Signature inspection does not check revocation or evaluate timestamp and long-term validation material. Dynamic XFA layouts are experimental and cannot be filled. Downloads include packages for Apple Silicon macOS, Windows 10/11 x64, Ubuntu/Debian, and x64 or ARM64 Linux; builds are unsigned, not notarized, and lack auto-update.

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.