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Oral History Transcription

Transcribe oral-history recordings in the language spoken, with timestamped segments, detected language and SRT for archives. CSV or JSON.

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Transcribe Interview to Text — for Journalists & Researchers
Transcribe Interview to Text — for Journalists & Researcherssian.agency/transcribe-interview-to-text
📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
+8 fields
Text
Number
Boolean
List
Object

Input

🔗 Interview Recording URLs (optional):https://upload.wikimedia.org/wikipedia/commons/3/35/Testimonio_de_Diana_Palomino_Ramos.ogg
🗣️ Language (Optional):auto

Output fields

📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
🗣️ Language
⏱️ Duration (s)
📦 File Size (MB)
Speakers
🗣️ Languages
✅ Success
Processed
🔎 Source

How it works

Sign up on Apify or log in

The Transcribe Interview to Text — for Journalists & Researchers Actor is ready to run with the inputs already set for "Oral History Transcription". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Oral History Transcription" task

The Transcribe Interview to Text — for Journalists & Researchers Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 interview recording urls (optional) and 🗣️ language (optional), to match your specific use case.

Receive the "Oral History Transcription" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 📝 transcription, ✂️ segments, 💬 srt subtitles, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Oral History Transcription" task via API.

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Integrate "Oral History Transcription" into your workflow

Connect "Oral History Transcription" with 100+ integrations, or run it via API or MCP.

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