Unredact is a specialized tool that attempts to reconstruct redacted or obscured text in images, PDFs, or screenshots using a combination of image processing and generative AI inference to suggest plausible completions of blurred, black-boxed, or jumbled content. Unlike traditional optical character recognition (OCR), which only reads visible text, Unredact focuses on inferring missing content where redaction has been applied by analyzing surrounding context, font characteristics, and linguistic patterns to produce candidate reconstructions. It accepts a variety of input formats, automatically identifies redacted regions, and then generates text suggestions that are presented alongside visual overlays so users can choose or refine outputs.
Features
- Detection of redacted regions in images and PDFs
- Context-aware reconstruction using generative inference
- Integration with OCR for visible text extraction
- Confidence scoring for candidate suggestions
- Visual overlay interface for review and refinement
- Hooks for domain-specific language models in reconstruction