RedoSan Authenticity icon
RedoSan Authenticity icon

RedoSan Authenticity

Open-source, client-side digital authenticity toolkit: image, audio and document watermarking, C2PA provenance, fingerprinting and forensic tamper analysis — all running entirely in your browser.

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  • Online
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  •  1 Stars
  •  3 Forks
  •  18 Open Issues
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RedoSan Authenticity was added to AlternativeTo by Redo San on and this page was last updated .

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What is RedoSan Authenticity?

RedoSan Authenticity is a 100% client-side digital authenticity toolkit built with vanilla HTML/CSS/JavaScript (no frameworks). It provides a comprehensive set of tools for proving authenticity and detecting tampering — all running entirely on your device.

Key features:

  • Image watermarking (9 algorithms: LSB, DCT, Neural SS, Zero-bit, Multi-bit, Forensic, Fragile, Imatag, Adaptive)
  • Audio watermarking (8 algorithms: LSB, Phase Coding, Echo Hiding, DSSS, QIM, DWT Haar, Patchwork, DCT)
  • Document watermarking (Whitespace, Zero-width, Synonym, Line-shift, Word-shift)
  • Pixel injection (23 algorithms across spatial, frequency, deep-learning and professional families)
  • C2PA provenance signing and verification (ECDSA P-256, CBOR/COSE Sign1)
  • Cryptographic fingerprinting (17 hashes + 4 perceptual image hashes)
  • W3C decentralized identifiers (did:key, Ed25519 / P-256 / RSA)
  • OpenTimestamps create/verify/upgrade
  • Digital passport certificates (PDF, DOCX, EPUB + QR verification)
  • Media format conversion via FFmpeg.wasm
  • Forensic tamper analysis (ELA, noise inconsistency, JPEG structure, copy-move)
  • Biometric registration and verification (face, voice, iris — all on-device)
  • ID generation (UUID v4/v7, ULID, NanoID, SWHID)
  • Metadata reading (EXIF)
  • Removal tools (strip watermarks, fingerprints, metadata, GPS)
  • Built-in bilingual (AR/EN) chatbot

Privacy: everything runs on your device; files are never uploaded to any server. Biometric templates are generated, stored encrypted and matched locally.

License: GNU GPL v2.0 or later. Source code on GitHub.