subtitler
Free on-device web app that transcribes audio and renders subtitles.
Free, cross-platform subtitle editor with AI transcription tools.
TeroSubtitler is an open-source audio project by URUWorks (URUWorks/TeroSubtitler on GitHub). It has 467 GitHub stars and 37 forks, is released under the MPL-2.0 license, and was last updated on GitHub on 19 September 2026.
Get the build for your OS from the official site.
Load your video or existing subtitle file.
Adjust captions, timing, and styles.
Save in standard subtitle formats.
Full-featured caption and subtitle editor.
Runs on Windows, macOS, and Linux.
Audio-to-text to draft subtitles fast.
Deep video format support.
Built-in helpers for translating captions.
Handles Blu-ray subtitle workflows.
Download the source and enter the folder.
git clone https://github.com/URUWorks/TeroSubtitler.git
cd TeroSubtitlerTeroSubtitler is a Free Pascal project; open it in the Lazarus IDE.
# open the .lpi project in LazarusCompile from the IDE and launch the editor.
# Build via Lazarus: Run > Build, then RunA free, open-source, cross-platform subtitle editor, at URUWorks/TeroSubtitler.
Windows, macOS, and Linux.
Yes. MPL-2.0 licensed.
Yes. It includes AI audio-to-text features.
Standard formats via its ffmpeg-based pipeline; check the docs.
Free on-device web app that transcribes audio and renders subtitles.
Auto-subtitle videos with AI transcription, translation and voice cloning
Token efficient translation utility built on ChatGPT or any OpenAI compatible LLM.
Self-hostable AI-driven transcription platform with speaker diarization.
Private cross-platform speech-to-text with LLM cleanup built in.
Official JS SDK for AssemblyAI transcription and audio intelligence.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if TeroSubtitler is not the right fit.
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.