Afluister Recorder
Afluister Recorder analyzes uploaded audio to generate transcripts, timing data, and quality metrics for researchers, podcasters, and journalists.
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Sobre esta herramienta
The system conceptually ingests audio, runs an ASR model to produce word-level timestamps, computes duration and basic acoustic metrics, and assembles structured outputs for downstream workflows. Users can process single files or batches, then export results for integration with media pipelines. The differentiators are language support (en/nl), batch capability, and privacy-forward processing, making it valuable for studios, research labs, and newsrooms seeking fast, auditable transcripts without manual listening.
Cómo usar
- Provide inputs by uploading an audio file in mp3, wav, or m4a formats.
- Optionally select language (en or nl) or enable auto-detect.
- Run analysis to generate a time-stamped transcript and metrics.
- Review outputs and export as JSON or SRT; save transcript text if needed.
- If multi-speaker analysis is enabled, review diarized segments and adjust as needed.
Frequently Asked Questions
Encuentre respuestas rápidas
What file formats are supported?
How accurate is the transcription?
Can this be used for real-time transcription?
How is data privacy handled?
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