audio-annotation

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

A curated list of awesome data labeling tools

Open source audio annotation tool for humans

Audio Annotation Tool for ML development

Cicada is an open source audio annotation tool that lets you annotate audio files in .wav format and also enables you to look into each audio spectrogram while annotating

A curated list of excellent tools for data labeling and annotation across various domains.

Pyrenote, the Audio Labeling System for Acoustics Specifies Identification Project, is built to generate human moment-to-moment labels on audio files. At present, being used to label bird audio data. Derived from the open source repo Audino

extensible web framework for continuous annotation and perception experiments.

Web-based tool for straight-forward class annotation of audio files

Self-hosted tool that turns a folder of audio into a reviewed speech dataset. Transcribe with local models (Whisper, Parakeet) or hosted APIs, correct the text as a team, export CSV, JSONL or Hugging Face. Conda or Docker.

Praat++ — A web-based multimodal annotation tool for acoustic and video data.

HTML-based audio annotation tool

Interactive waveform + spectrogram audio player for analysis, annotation, and embeddable previews (Web, Streamlit, Gradio)

Local-first audio and speech dataset curation studio for waveform review, transcription, diarization, consent, quality, segmentation, exports, MCP, and modular AI plugins.

An open-source platform for marine bioacoustics annotation, machine learning, and data workflows.

Turn anonymous diarization speaker IDs into real names across a whole corpus of recordings. Label, proof and comparison modes in one HTML file; online voiceprint enrollment; RTTM/SRT/VTT export.

simple HTK & TextGrid handling for go

AudioRegistry turns multi-speaker audios into reusable audio assets through speaker diarization, transcription, manual review, cross-project filtering, and clip export.

Bioacoustic annotation workflow demo: onset/offset detection to Raven selection table

End-to-end audio annotation workflow for speech emotion data including dataset analysis, annotation generation, quality checks, and audio visualization.