ElevenLabs Speech to Text - Scribe V2

Transcribe audio with speaker identification, timestamps, and multilingual support.

Generated Result

Generated

Create AI audio in seconds

3,200+ audio files generated this month

📄 About ElevenLabs Speech to Text - Scribe V2
Key Features
Ultra-fast speech-to-text transcription with rapid turnaround times.
Supports over 70 languages and dialects for truly global coverage.
Speaker diarization automatically identifies and labels individual speakers.
Audio event tagging detects non-verbal events like laughter and applause.
Provides word-level timestamps for detailed transcript analysis.
Custom vocabulary biasing allows for accurate recognition of key terms and brand names.
Flexible input options with support for audio file uploads or URLs.
💡 Use Cases
Transcribing interviews, podcasts, or multi-speaker discussions with speaker identification.
Generating meeting notes or conference transcripts with audio event annotations.
Creating subtitles or captions for video and multimedia content in multiple languages.
Academic research requiring accurate, timestamped transcription of focus groups or lectures.
Legal or medical professionals needing precise transcripts with technical terminology.
Media production workflows that demand fast, reliable speech-to-text conversion.
Enhancing accessibility for hearing-impaired audiences through detailed, event-rich transcripts.
🎯 Best For
🎯 Media professionals, researchers, educators, content creators, and businesses needing fast, accurate, and multilingual speech-to-text transcription.
👍 Pros
Delivers transcription results in seconds for increased productivity.
Multilingual support covers a wide range of global use cases.
Speaker diarization and audio event tagging enrich transcript quality.
Custom vocabulary ensures industry-specific accuracy.
User-friendly interface with flexible audio input options.
Scalable for both small and large transcription workloads.
⚠️ Considerations
Requires clear audio quality for optimal results.
Custom vocabulary bias increases processing cost.
Some languages may have varying levels of accuracy depending on audio conditions.
Integration with external tools may require additional setup.
📚 How to Use ElevenLabs Speech to Text - Scribe V2
1
Prepare your audio file or obtain a direct audio URL for the content you want to transcribe.
2
Upload the audio file or paste the URL into the input field.
3
Select the language of the audio or leave it on auto-detect for automatic recognition.
4
Choose whether to enable speaker diarization and audio event tagging as needed.
5
Optionally, enter custom key terms to improve recognition of specific words or phrases.
6
Submit your request and receive a detailed, speaker-labeled transcript with event tags and timestamps.
Frequently Asked Questions
ElevenLabs Scribe V2 supports over 70 languages and dialects, including major global languages such as English, Spanish, French, Chinese, Arabic, and more. This makes it suitable for international transcription needs.
Speaker diarization is the process of identifying and labeling individual speakers within an audio file. This feature helps users distinguish who said what in multi-speaker recordings like meetings, interviews, or podcasts.
Yes, by using the keyterms feature, you can bias the model towards up to 100 custom words or phrases. This is particularly useful for ensuring accurate transcription of technical jargon, brand names, or uncommon terms.
Pricing varies by model and is based on a pay-as-you-go credit system. This allows users to pay only for the resources they consume without any long-term commitments.
The model accepts a wide range of audio formats via file upload or URL, making it flexible for various recording sources and compatible with standard audio types.

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