Transcription Tool

A fast, free transcription tool for converting speech to text, aiding journalists, researchers, students, and creators in producing accurate transcripts.

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4.9 / 5.0

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About This Tool

This tool transcribes audio to text by applying a speech-to-text model to uploaded or linked audio, returning an editable transcript suitable for captions and records.
Conceptually, it processes audio in chunks, detects language, applies punctuation and casing, optionally inserts timestamps and speaker labels, and outputs in text and subtitle formats.
Beneficiaries include journalists, educators, researchers, and content teams who need fast, auditable transcripts. The combination of multi-language support, flexible exports, and batch processing delivers efficiency and consistency across projects.
Core features include language selection, optional timestamps, diarization, and export to TXT or SRT; high‑quality defaults; and robust error handling for missing or unsupported data.

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How to Use

Provide inputs: Upload audio_file (MP3, WAV, M4A) or supply audio_url.
Choose settings: language_code, enable_timestamps, enable_diarization, and desired export format.
Run transcription: initiate processing to generate transcript and metadata.
Review outputs: read, edit, and verify accuracy against the source.
Export results: download TXT or SRT and integrate with workflows.

Frequently Asked Questions

Find Quick Answers

What audio formats are supported?

The tool accepts common formats such as MP3, WAV, M4A, and FLAC. Each file is validated on upload; if an unsupported format is detected, the system provides a clear error with suggested alternatives. Large files may be processed in chunks to ensure reliability.

Can I transcribe non-English audio?

Yes, the tool supports multiple languages. You select a language_code before transcription; accuracy varies with language model maturity and audio quality. For non-Latin scripts or specialized vocabularies, review and optionally add custom terms after transcription.

Are timestamps and speaker labels included?

Timestamps are optional and can be included at segment boundaries. When enable_diarization is true, speaker labels are added to segments. If disabled, transcripts remain plain text. Export formats (TXT or SRT) reflect the chosen options.

How is privacy handled?

Data handling follows regional privacy regulations (e.g., GDPR/CCPA) based on deployment. Transcripts may be stored temporarily for processing and are subject to retention policies. Users can opt out of persistent storage where supported.

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