Audio Transcription Tool
Transcribes uploaded audio into text for podcasters, journalists, students, and professionals, with optional speaker labels and exports.
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About This Tool
Under the hood, it uses advanced ASR models with acoustic and language components, performs punctuation restoration, and optionally performs speaker diarization to separate speakers in interviews or panel discussions. Language detection adapts to English variants (US/UK) and other major languages; noise reduction and audio enhancement improve transcription on low-quality recordings.
Users can enable timestamps to anchor segments to precise times, enable speaker labels, and export results in TXT, SRT, or VTT formats for captions, show notes, or CMS imports. The transcript can be reviewed in an editor, corrected for accuracy, and re-exported.
Batch processing supports large projects with consistent formatting.
Key differentiators include configurable diarization accuracy, per-segment confidence scores, secure processing with configurable retention policies, and API access for automation. Use cases span podcast production, lecture capture, meeting minutes, research interviews, and archival projects that require long-term searchability and accessibility.
How to Use
- Upload audio file in supported formats (MP3, WAV, FLAC).
- Choose options: enable_speaker_labels, include_timestamps, language, and output_format.
- Run transcription to produce transcript_text with optional metadata.
- Review and edit the transcript if needed, then export as TXT or SRT.
- Download or export the file to integrate with CMS or caption workflows.
Frequently Asked Questions
Find Quick Answers
What formats are supported for input and output?
How accurate is the transcription?
Can I label speakers in a multi-person recording?
Is data saved or processed locally?
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