Text Unblur Tool

The Text Unblur Tool is designed to recover legible text from images where blur or poor focus renders OCR unreliable. It targets researchers, students, journalists, archivists, and investigators who encounter photographed pages, receipts, or scanned documents with motion blur, smudges, or noise. By combining restoration algorithms with optical character recognition, it provides machine-readable content and preserves the structure of the original document. It does not handle handwriting or heavily stylized fonts.

Conceptually, the tool first identifies text regions, applies deblurring and denoising, and then runs OCR to extract text. It supports multiple languages and scripts, using language detection to select appropriate OCR models. Optional denoising and blur controls let power users tune results for noisy sources. Outputs include the recovered text, a confidence score, and the detected language.

Unique value lies in the integrated workflow: image processing plus text extraction in a single pass, with privacy options and export formats. It suits archival projects, contract recovery, and academic research where legibility is compromised. Batch processing enables processing of multiple images, while language options optimize accuracy for non-English documents.

Core features include image ingestion, deblurring with blind deconvolution or learned restoration, OCR pass, language detection, and structured outputs. Use cases range from scanned receipts to historical manuscripts. The tool emphasizes accuracy and transparency in confidence scoring and language inference, while clearly delineating limitations such as handwriting or extreme blur.