Speech to Text

Description

Scribe is ElevenLabs' advanced Speech to Text model designed to convert spoken language into written text with high accuracy. Utilizing automatic speech recognition (ASR) technology, Scribe processes audio signals, identifies speech patterns, and transcribes them into text. It supports 99 languages and is capable of handling noisy and accented audio, making it ideal for diverse applications such as podcasts, meetings, and real-time speech recognition.

The technology behind Scribe allows for features like speaker diarization, which distinguishes and labels multiple speakers, and word-level timestamps for precise transcription. Additionally, it can tag audio events such as laughter and applause, enhancing the context of the transcription. Scribe is particularly useful for content creators, businesses, and educators who need reliable transcription services for accessibility and content repurposing.

Scribe also offers real-time transcription capabilities, converting spoken words into text in under 150 milliseconds, making it suitable for live conversations and meetings. Users can easily transcribe video content by uploading their files, and the system will automatically generate a transcript with timestamps for easy editing. Furthermore, Scribe can auto-generate captions for social media platforms like YouTube, TikTok, and Instagram, supporting multiple languages to enhance accessibility.

Security is a priority for ElevenLabs, with all data processed using enterprise-grade security measures. Transcriptions can be handled through encrypted APIs, ensuring that sensitive information is managed securely. Scribe can also work offline if models are deployed locally, providing flexibility for enterprises that require control over data handling. With its comprehensive features and capabilities, Scribe is positioned as a leading solution for speech-to-text conversion across various industries.

Speech to Text's Core Features

• 99 languages supported

• Speaker diarisation and labelling

• Word-level timestamps

• Audio event tagging

• Industry-leading accuracy on noisy audio

• REST API available

• Real-time transcription under 150 milliseconds

• Auto-generate captions for social media

How to use Speech to Text?

1. 1

   Upload your audio or video file to Scribe.

2. 2

   Allow the speech recognition technology to process the audio.

3. 3

   Receive an automatically generated transcript with timestamps.

4. 4

   Edit the transcript as needed for accuracy.

5. 5

   Download the text file or export subtitles for use.

6. 6

   Use the real-time transcription feature for live conversations.

7. 7

   Auto-generate captions for social media videos.

8. 8

   Ensure data security through encrypted APIs.

Speech to Text's Use Cases

• Meeting Notes
• Podcast Transcription
• Video Subtitles
• Accessibility Captions
• Real-time AI Assistants

FAQ from Speech to Text

• What languages does Scribe support?

  Scribe supports 99 languages, including English, Spanish, French, and many more.

• How accurate is the Speech to Text model?

  Scribe achieves an accuracy of ≤ 5% Word Error Rate (WER) for many languages.

• Can Scribe work in real time?

  Yes, Scribe can transcribe speech in real time with under 150 milliseconds latency.

• What is speaker diarization?

  Speaker diarization allows Scribe to distinguish and label multiple speakers in a conversation.

• How secure is the transcription process?

  All data is processed with enterprise-grade security and can be handled through encrypted APIs.

• Can I generate captions for social media?

  Yes, Scribe can auto-generate captions for platforms like YouTube and TikTok.

• How do I transcribe video to text?

  Upload your video file, and Scribe will process the audio to generate a transcript.

• Is there a cost associated with using Scribe?

  Scribe starts from $0.40 per hour of transcribed audio, with lower rates for enterprise plans.