LocalRedact vs Redactable

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.

Redactable is a web-based platform for detecting and permanently removing sensitive information from documents and images. Its AI identifies personal, health, financial, and other sensitive patterns for redaction. Built-in OCR makes scanned documents and image-based PDFs searchable before redaction. Supported inputs include PDF, TIFF, PNG, and JPG files from device uploads or supported third-party services; output is PDF. Redactable says it removes hidden metadata, embedded objects, and residual data from redacted files. Collaboration tools include shared workspaces, task assignments, comments, role-based permissions, activity logs, and version history. It can generate redaction certificates and audit logs recording who redacted what and when. Integrations listed include Google Drive, Dropbox, OneDrive, Box, SharePoint, and Clio. Redactable states that it is SOC 2 Type II certified and HIPAA compliant, uses AES-256 encryption at rest and TLS 1.2 or higher in transit, and does not retain document content beyond the redaction job or use it to train AI models. Three documents are free; pay-as-you-go costs $7.50 after that. Starter costs $19 a month billed annually.