🎤 Audio Transcriber

🚀 Convert speech to text in seconds. Upload audio files and get accurate transcriptions. Supports multiple languages. No coding, no transcription accounts required.

🕒 Last updated: 2026-05-08 · 🌐 Multi-language · 🎧 Any audio format · 📝 Full transcription · 🚫 No auth required

Convert audio recordings to clean, structured text without juggling transcription tools or paying per-minute fees. The Actor accepts one or more audio file URLs (MP3, WAV, AIFF, AAC, OGG, FLAC, M4A and similar), runs each through an AI transcription pipeline, and returns the full transcript in your dataset. Built for podcasters, journalists, researchers, meeting teams, and any workflow that turns spoken audio into searchable text.

The output is a structured record per file: a back-reference to the input URL, the full transcription, a timestamp, and an error field if something fails. Hand the dataset off to your editor, summarizer, or downstream pipeline. Every run is processed live, so there is no upload cap or vendor lock-in.

👥 Built for	🎯 Primary use cases
Podcasters and creators	Generate episode transcripts and show notes
Journalists and researchers	Convert recorded interviews into searchable text
Meeting and operations teams	Auto-transcribe Zoom and Teams recordings
Content marketing	Repurpose webinars into blog posts and shorts
Accessibility teams	Produce captions and transcripts for compliance
Localization workflows	Get base text ready for translation pipelines

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📋 What the Audio Transcriber does

• 🎧 Audio input. Accepts one or more audio file URLs in common formats (MP3, WAV, AIFF, AAC, OGG, FLAC, M4A).
• 🌐 Language hint. Pass an ISO 639-1 language code (e.g. en, es, fr, pt) to bias the model toward the right phonetics and vocabulary.
• 📝 Full transcription. Returns the complete text of each audio file as a single string per record.
• 🆔 Back-reference. Every record includes the original audio URL so you can rejoin transcripts to source files.
• ⏱️ Timestamp. Every record carries a timestamp field with the time the transcript was produced.
• ❗ Per-file error reporting. If a file fails (corrupt, unsupported, unreadable URL) the error appears on its own record without breaking the run.

The actor processes uploads in the order you provide them. Records stream into the dataset as transcripts complete, so you can start consuming results before the run is fully finished. Manual transcription typically takes 4-6 hours per hour of audio; this Actor returns the same text in minutes.

💡 Why it matters: spoken audio is everywhere (podcasts, interviews, meetings) but most data tooling is text-first. A reliable speech-to-text step unlocks search, summarization, translation, and analytics workflows that would otherwise be impossible.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing audio upload, a live run, and how to feed the transcript into a summarization workflow.

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⚙️ Input

Field	Type	Name	Description
audioFileUrl	array of strings	Audio File URL	Required. One or more audio file URLs (MP3, WAV, AIFF, AAC, OGG, FLAC, M4A). Files are processed in the order you provide them.
language	string	Language	ISO 639-1 language code (e.g. en, es, fr, pt) to guide the model. Leave empty for auto-detect.

Example 1. English podcast episode transcription.

{
  "audioFileUrl": [
    "https://example.com/podcast/episode-12.mp3"
  ],
  "language": "en"
}

Example 2. Batch processing of 3 Spanish-language interviews.

{
  "audioFileUrl": [
    "https://example.com/interview-1.wav",
    "https://example.com/interview-2.wav",
    "https://example.com/interview-3.wav"
  ],
  "language": "es"
}

⚠️ Good to Know: the audio URL must be publicly reachable. If your file lives in a private bucket, generate a signed URL valid for the run's duration before passing it in.

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📊 Output

The dataset returns one record per audio file. Each record carries the original URL, the full transcription text, a timestamp, and an optional error message if processing failed. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🔗 audioReference	string (url)	https://example.com/podcast/episode-12.mp3
📝 transcription	string	Welcome back to the show, today we're talking about...
📅 timestamp	ISO datetime	2026-05-08T12:00:00.000Z
❗ error	string or null	null

📦 Sample records

1. Typical record (English podcast)

{
  "audioReference": "https://example.com/podcast/episode-12.mp3",
  "transcription": "Welcome back to the show, today we're talking about how small teams can ship faster without burning out. Our guest today has been building products at venture-backed startups for over a decade and has a lot to share.",
  "timestamp": "2026-05-08T12:00:00.000Z",
  "error": null
}

2. Spanish interview (multilingual hint)

{
  "audioReference": "https://example.com/interview-2.wav",
  "transcription": "Buenos dias, gracias por tomarse el tiempo de hablar conmigo. Mi primera pregunta tiene que ver con como empezo el proyecto y que les motivo a escoger esa direccion en particular.",
  "timestamp": "2026-05-08T12:00:00.000Z",
  "error": null
}

3. Error record (file unreadable)

{
  "audioReference": "https://example.com/broken-link.mp3",
  "transcription": null,
  "timestamp": "2026-05-08T12:00:00.000Z",
  "error": "Could not download audio: HTTP 404"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Audio-to-text only, no extra knobs to learn or configure.
🌐	Multi-language. Pass an ISO code for biased decoding or leave empty for auto-detect.
⚡	Fast. Most files transcribe in 1-3 minutes per minute of audio.
🔁	Live processing. Every run runs end to end with no caching of input audio.
🌐	No infra to manage. Apify handles compute, scaling, scheduling, and storage.
🛡️	Reliable. Per-file error reporting means one bad URL does not kill the whole run.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade speech-to-text without the engineering overhead of building and maintaining your own pipeline.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Accuracy	Setup
⭐ Audio Transcriber (this Actor)	$5 free credit, then pay-per-use	Any audio URL	Live per run	High	⚡ 2 min
Manual transcription	Hours of human time	High control	Per file	Highest	🐢 Hours per file
Paid transcription SaaS	$$$ monthly	High	Live	High	⏳ Hours of integration
Self-hosted models	Engineering hours	High once built	Live	Variable	🐢 Days to weeks

Pick this Actor when you want fast, reliable transcription without owning the infrastructure or paying per-minute SaaS fees.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Audio Transcriber page on the Apify Store.
3. 🎯 Add your audio. Paste one or more audio URLs into audioFileUrl and (optionally) set language.
4. 🚀 Run it. Click Start and let the Actor transcribe each file.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to first transcript: 3-5 minutes for a short clip.

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💼 Business use cases

📊 Content and editorial Generate searchable transcripts for podcasts and webinars Repurpose audio into blog posts, social clips, and newsletters Build show notes and chapter markers from spoken word Index your back-catalog for full-text search	🏢 Operations and meetings Auto-transcribe internal recordings and standups Build searchable archives of customer calls Pull action items from leadership all-hands Capture compliance evidence from recorded sessions
🎯 Research and journalism Turn interview recordings into editable text Speed up qualitative research and coding Build court-of-public-opinion archives from speeches Localize source audio for translation pipelines	🛠️ Engineering and product Add speech-to-text to your product without owning a model Wire transcripts into AI summarization workflows Build accessibility features and captions Prototype voice-driven features quickly

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Audio Transcriber

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to transcribe a folder of audio URLs on a cron cadence. Combine with webhooks to trigger downstream summarization or translation workflows the moment a transcript is ready.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Audio Transcriber and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Audio Transcriber regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Audio Transcriber at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Audio Transcriber

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Audio Transcriber on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Audio Transcriber?

Yes. Audio Transcriber only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

Audio Transcriber connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a transcript completes, like firing a summarization actor or pinging a Slack channel.

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🔗 Recommended Actors

• 🎬 YouTube AI Transcriber - Transcribe YouTube videos via URL with full metadata
• 🖼️ Auto Video Thumbnail Generator - Auto-generate thumbnails from video uploads
• 📰 Article Extractor - Extract clean article text from any URL
• 📄 PDF to JSON Parser - Convert PDFs into structured JSON
• 🔍 RAG Web Browser - Fetch clean text for AI retrieval pipelines

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new actor, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool. The scraper accesses only audio you supply by URL and is intended for legitimate research, productivity, and content workflows. Users are responsible for ensuring they hold the rights to transcribe the audio they submit and for compliance with copyright, privacy, and consent laws in their jurisdiction.