Paste a hadith’s chain of narration (isnad) and the text; isnad.ai will analyze each narrator, show classical biographical data, compare chain links to known sources, and produce a transparent authenticity assessment with reasons and confidence.

How it works

  1. Parse: Tokenize the supplied isnad and hadith text into narrators and transmission links.
  2. Profile: Query internal biographical datasets (rijal collections) and public scholarly metadata for each narrator.
  3. Compare: Match chain links against known transmission patterns and classical verdicts.
  4. Explain: Produce an evidence-backed assessment (e.g., sahih, hasan, da'if) and list the reasons and sources.

Key features

Narrator profiles
Summaries, lifespan, teachers/students, classical reliability ratings.
Chain analysis
Automatic detection of broken links, missing transmitters, and problematic generations.
Transparent reasons
Each authenticity claim is accompanied by the evidence used to reach it.

Live demo

Separate narrators with the word 'from' or commas. The demo uses a small internal dataset and a simulated AI explanation.
Demo: Local-sim

Security, privacy, and scholarly care

isnad.ai processes textual isnads and matn. In production we support privacy modes: local-only processing, encrypted uploads, and opt-in sharing for community verifications. For high-stakes research we provide downloadable citation-backed reports and a manual review option by recognized scholars.