NEW Video Models Are Here! Kling v3 Try Now
audio_analysis

ElevenLabs Speech to Text - Scribe V2

Blazingly fast speech-to-text with speaker diarization, audio event tagging, and word-level timestamps. Scribe V2 from ElevenLabs with multilingual support

Example Output

Input Audio

Transcription

"Hey, this is a test recording for Scribe version two, which is now available on jaiportal.com"

~2-5 seconds

Try ElevenLabs Speech to Text - Scribe V2

Fill in the parameters below and click "Generate" to try this model

Audio file to transcribe

Language code of audio (ISO 639-3)

Tag audio events (laughter, applause, etc.)

Annotate who is speaking (speaker diarization)

Bias model towards specific words (max 100, 50 chars each, +30% cost)

Your inputs will be saved and ready after sign in

More audio_analysis Models

Audio Understanding

Audio Understanding

Analyze audio files to identify topics, emotions, speakers, and extract insights.

Nemotron ASR

Nemotron ASR

Fast and accurate speech-to-text transcription using Nemotron ASR. Configurable acceleration modes for speed/accuracy trade-off (WER ranges from 7.16% to 8.53%)

About ElevenLabs Speech to Text - Scribe V2

ElevenLabs Speech to Text - Scribe V2 is a cutting-edge AI model designed for rapid, accurate, and insightful audio transcription. Utilizing advanced speech recognition technology, Scribe V2 goes beyond simple transcription by offering speaker diarization, audio event tagging, and word-level timestamps, making it a robust solution for professionals seeking high-quality speech-to-text conversion. This model delivers blazingly fast transcription speeds, ensuring that your audio files are converted to readable text in just seconds. One of the standout features of Scribe V2 is its comprehensive multilingual support. With compatibility for over 70 languages, including English, Spanish, French, German, Japanese, Chinese, Arabic, Hindi, and many more, it serves global businesses, researchers, and content creators who require flexible language processing. The model accepts audio files via direct upload or URL, providing seamless integration into diverse workflows. Scribe V2’s speaker diarization capability allows users to easily identify and annotate individual speakers throughout their recordings. This is especially beneficial for transcribing meetings, interviews, podcasts, and conference calls, where distinguishing between speakers is essential for clarity and accuracy. In addition, the model can automatically tag audio events such as laughter, applause, and other non-verbal cues, offering richer and more contextualized transcripts for analysis or publication. For users who need specialized vocabulary recognition, Scribe V2 features a "keyterms" option, allowing you to bias the model toward up to 100 custom words or phrases. This ensures technical terms, brand names, or industry-specific jargon are accurately captured, making it ideal for legal, medical, academic, or enterprise contexts. The model is highly customizable and user-friendly, with simple controls for language selection, speaker diarization, and event tagging. Scribe V2 is perfect for a range of applications, from media production and journalism to education, customer service, and research. Whether you need quick meeting notes, detailed content from podcasts, or accurate transcripts for accessibility, Scribe V2 offers a powerful and reliable solution. With its pay-as-you-go credit system, you only use resources as needed, making it a cost-effective choice for both occasional and high-volume transcription needs. In summary, ElevenLabs Speech to Text - Scribe V2 redefines audio transcription by combining speed, accuracy, and advanced features in a single, easy-to-use model. Its multilingual capabilities, speaker identification, audio event tagging, and custom vocabulary support make it an indispensable tool for anyone looking to transform audio into actionable, high-quality text.

✨ 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

🏷️ Related Keywords

speech to text audio transcription speaker diarization multilingual transcription audio event tagging word-level timestamps AI transcription meeting transcription podcast transcription custom vocabulary