Transcription

A document parser that turns PDFs, office files, images and audio into clean structured text.

Voice cloning, dubbing, dictation and transcription, all running on one local machine.

A command-line converter that turns PDFs into Markdown or structured data with high accuracy.

It makes a scanned PDF searchable without changing how it looks.

Open-source text-to-speech that clones a voice from a short clip and reads it back in 23 languages, Russian included.

One pipeline that transcribes a video, translates the subtitles and can dub the result in a synthetic voice.

The mature desktop subtitle editor — waveform retiming, line-by-line translation, and every format converted.

A Python tool that turns text into spoken audio using Microsoft Edge's online voices, with no account and no key.

It works out who spoke when in a recording.

Fast local neural speech on plain CPU — the licensed replacement for edge-tts's grey area.

A command-line tool that removes the silent parts of a video or audio file automatically.

Identifies music files against the MusicBrainz database and writes the correct details into them.

A desktop window over FFmpeg for converting, trimming and processing video, audio and images.

It turns a sound file into a picture of itself, or into the numbers behind that picture.

A small window for HEVC and AV1 video encoding that drives an FFmpeg you install yourself.

Merges, splits and chapterises audiobook files from the command line.

Normalises every video to the EBU R128 loudness YouTube expects — ten minutes, and viewers stop reaching for the volume.

The C++ library that reads and writes the metadata inside audio files.

One command that splits a recording into separate voice and music tracks.

It reads the hidden information inside audio files from Python, with no other software needed.