Google AI ModeSep 26, 2026
ELAN: Developed by the Max Planck Institute, ELAN is the gold standard for linguistic and phonetic audio/video annotation.
Part of Mpi Archive
Data as of Oct 16, 2026Based on 6,877 AI responses
Reviewed by Dimitry Apollonsky
AI summary
ELAN is an open-source, Java-based software tool for creating audio and video annotations that is part of The Language Archive at the Max Planck Institute for Psycholinguistics.
Products
1%
of 6,877 answers across ELAN’s markets · since Jul 5
The market map
User Research Repository SoftwareMentioned in
Share of answers in User Research Repository Software each week · 319 answers since Jul 5
Each engine’s share of its own answers across ELAN’s markets · since Jul 5
This page was cited in 5 AI answers that named ELAN.
Review this page on your site for accurate product details and clear explanations of who it helps. The citation evidence does not establish that the page needs a correction.
All-time evidence through 2026-10-16.
Review the page on archive.mpi.nl (opens in a new tab)Where ELAN ranks in AI
Question: I need to label audio data with timestamps for a speech-to-text model. What is the best audio annotation tool?
ChatGPT SearchSep 26, 2026
ELAN: excellent if you need multiple annotation tiers or detailed linguistic annotation.
Question: Which research repositories ingest and transcribe interviews while preserving timestamps speakers source files and corrected transcript history?
ChatGPT SearchAug 18, 2026
ELAN isn't a repository, but it is worth including because it solves the hardest data-model problem here: time-aligned annotations attached to the original audio/video.
archive.mpi.nl 8%Other sites 92%
Excerpts where ELAN appeared in the AI's answer
ELAN: Developed by the Max Planck Institute, ELAN is the gold standard for linguistic and phonetic audio/video annotation.
ELAN: excellent if you need multiple annotation tiers or detailed linguistic annotation.
Excerpts where ELAN appeared in the AI's answer
ELAN isn't a repository, but it is worth including because it solves the hardest data-model problem here: time-aligned annotations attached to the original audio/video.