Websites, software & apps

Transcription software.

Compare audio and video transcription tools for interviews, lectures, research and recorded conversations. Explore editing, speaker labels, exports and pricing sources.

2707 software products

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LinuxDevil/ScreenRecAI-Desktop is a TypeScript project for speech transcription and audio recording, with setup instructions in its source repository.

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alexiokay/AriLink is a TypeScript project for speech transcription and file input, with setup instructions in its source repository.

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timkulbaev/ai-video-editor is a Python project for speech transcription, with setup instructions in its source repository.

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JanPlr/whisperino is a Swift project for speech transcription and text exports, with setup instructions in its source repository.

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andreskoljalg/whisprito is a Python project for speech transcription and text exports, with setup instructions in its source repository.

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francescopace/whisperize is a Python project for speech transcription and speaker labeling, with setup instructions in its source repository.

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hatsch/TranSlander is a Kotlin project for speech transcription and audio recording, with setup instructions in its source repository.

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maxonamission/obsidian-voxtral is a JavaScript project for speech transcription and audio recording, with setup instructions in its source repository.

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mikha08-rgb/VoiceLite is a C# project for speech transcription and translation workflow, with setup instructions in its source repository.

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ph1lb4/ainstype is a Swift project for speech transcription, with setup instructions in its source repository.

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Clay-Ferguson/lingo is a JavaScript project for speech transcription and voice input, with setup instructions in its source repository.

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DXVSI/MegaWhisper is a Shell project for speech transcription and summaries and notes, with setup instructions in its source repository.

Desktop appLocal/CLI
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JasonLovesDoggo/Flow is a Rust project for speech transcription and audio recording, with setup instructions in its source repository.

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MyButtermilk/Scriber is a Python project for speech transcription and automatic captions, with setup instructions in its source repository.

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StulkovLD/Voicely is a Swift project for speech transcription and audio recording, with setup instructions in its source repository.

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TheNewC0der-24/Textonus is a JavaScript project for speech transcription and summaries and notes, with setup instructions in its source repository.

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Victorgm21/subwizard is a Python project for speech transcription and automatic captions, with setup instructions in its source repository.

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dabit3/heyclicky-clone is a Swift project for speech transcription and voice input, with setup instructions in its source repository.

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dapanggougou/sensevox is a Python project for speech transcription and audio recording, with setup instructions in its source repository.

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mar-maradnus/openplaudit is a Swift project for speech transcription and audio recording, with setup instructions in its source repository.

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mickyyang-1407/utuvo-type is a Swift project for speech transcription and audio recording, with setup instructions in its source repository.

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raviumeshkulkarni-web/Fluence-Desktop is a Rust project for speech transcription and audio recording, with setup instructions in its source repository.

Desktop appLocal/CLI
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stephan271c/WhisperNow is a Python project for speech transcription and audio recording, with setup instructions in its source repository.

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t0mer/tts-stt is a Python project for speech transcription and file input, with setup instructions in its source repository.

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How do I choose audio-to-text transcription software?

Choose a tool that accepts your recording length and language, then check speaker labels, editing and the export you need. Evaluate the same representative file across candidates rather than treating a provider’s advertised accuracy as your own measured result.

This category currently lists 2707 matching products and selected placements, with up to 24 products per page. Featured placement is separate from a measured performance ranking.

Workflow requirements to compare
AreaWhat to verify
InputAudio or video formats, duration and file limits
TranscriptWord errors, speaker changes, names and numbers
DeliveryEditing controls, timestamps and document or subtitle export

How can I compare transcription accuracy fairly?

Use the same audio and a human-checked reference transcript. Report WER or CER with the language, model, normalization and sample size. Check speaker attribution and important names separately; one metric does not describe the whole editing workflow.

Which costs should I compare for transcription?

Compare included audio allowance, maximum file length, paid exports and overages. Separate a monthly payment from an annual plan’s monthly equivalent, and confirm current purchase terms on the provider’s pricing page.

Sources: JiWER scoring documentation and Google’s guidance on evidence and trade-offs in reviews. See our review methods and evidence standards.

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