From field recordings to searchable resources and archives
Linguistic Field Data Management and Analysis System
LiFE Suite
An open-sourced suite to collect, transcribe, annotate, analyse, share, and enrich language data.
Use cases
How to use LiFE to turn scattered and tedious data processing into an automated pipeline.
Prepare multilingual data for model training workflows
Data preparation for AI pipelines
You can start with recording data at scale on Atekho using its crowdsourcing and remote data collection workflows. Once data is collected, it can be processed in MATra Lab to produce AI-ready datasets for training models for speech recognition, machine translation, and other NLP tasks. MATra Lab supports AI-assisted transcription, translation, and custom annotation of all kinds of speech, text, image and video data. Scale up and accelerate your data preparation workflows by setting up multiple teams with 100s of members working in parallel, each with a fine-grained set of permissions, validating the work, managing permissions, and finally exporting the data in a format suitable for training AI models. You can even use Models Studio to train baseline models on your data and evaluate their performance.Read texts, audio-video and image data, annotate them and generate insights
Digital Humanities and Social Science Research
If you are an influencer or a journalism or a researcher in the humanities or social sciences, you can use integrated AI models in MATra Lab to automatically transcribe and code multimodal and text data. You can combine your secondary materials (such as texts) with primary materials such as automatically transcribed interviews (of the authors or participants), focus group sessions and other research materials on a single platform. And then generate different kinds of visualisations and quantitative analyses describing your research.Each LiFE app and feature supports a distinctive part of the language-data workflows.
Atekho
Setup mobile-first and remote linguistic and cultural data collection workflows where enabled for your account.
MATra Lab
Manage recordings, speaker metadata and validation. Do AI-assisted transcriptions, translations and annotations.
LexiLab
Create, edit, browse, and export lexical resources with forms, senses, variants, glosses, and dictionary views.
Questionnaires
Build elicitation projects, set up Atekho projects, and export questionnaires to different output formats.
Models Studio
Train models for ASR, OCR, translation, transliteration, and other tasks using a no-code interface.
Analytics
Track project progress, speaker/audio coverage, user contribution, payment readiness, and review status.
LipiLab
Work for manuscript digitisation, metadata management, AI-assisted annotation and preparation of critical editions.
VizTrail
Produce visualizations and multiple quantitative analyses from the prepared multimodal data for research.
LaLTeN-GLowS
Outputs for the community including mobile apps, primers, games, grammars and more for giving back to the community.
ArivuThunai
Live subtitling of lectures, synthesise course materials, and practice for examinations with AI assistance.
SabhaAssistant
Live subtitling of conferences, seminars, and meetings with AI-assisted generation of reports and minutes.
Teams and sharing
Coordinate contributors, teams, institutional contexts, permissions, and project access.
Export and delivery
Package transcriptions, lexicons, questionnaires, dictionaries, and selected project data.
Karya Integration
Manage Karya access codes, fetch history, recordings, and speaker-oriented task flows.
Who it serves
Designed for both academic and applied language work.
Students and faculty
Manage field projects, classroom data, lexicons, questionnaires, and reproducible research outputs.
Institutions and labs
Coordinate teams, share projects, review metadata, and preserve language resources across projects.
Organisations
Use scalable compute, storage, AI workflows, and enterprise customization for multilingual data needs.
From raw material to usable resources
A workspace for the full lifecycle of language data.
Academic credibility
Peer-reviewed work around LiFE.
LiFE is not just a product interface. It sits inside a growing body of publications, demos, and applied research workflows.
Research papers on LiFE
Academic papers presenting LiFE, its architecture, workflows, integrations, or research-facing capabilities.
Research papers using LiFE
Published work where LiFE supported data collection, annotation, resource development, or research workflows.
Demos
Demo papers and public showcases that help evaluators understand LiFE as a working system.
Announcements
Know what is changing in and around LiFE.
Karya workflow updates
Recent development focused on Karya setup, background fetch flows, and recording-management fixes.
Background upload support
Upload processing has moved toward background tasks for smoother large-data workflows.
Recording duration automation
Recording projects gained improved automatic duration calculation and update flows.
Tagset UI Fix
Recent implementation activity from the LiFE codebase.
Annotation UI Updates
Recent implementation activity from the LiFE codebase.
Minor Annotation UI Updates
Recent implementation activity from the LiFE codebase.
Transcription Delete Fix
Recent implementation activity from the LiFE codebase.
Gitignore
Recent implementation activity from the LiFE codebase.