Speech to Text for Captions and Editable Transcripts

Speech-to-text (STT) is a technology that converts spoken language into written text using automatic speech recognition (ASR). It processes audio signals, identifies speech patterns, and transcribes them into text with high accuracy. ElevenLabs' AI-powered speech-to-text software is designed to transcribe audio and video content with human-like precision, making it ideal for speech-to-text conversion, audio transcription, and real-time speech recognition. Speech-to-text technology is used in: ✔ Speech-to-text transcription for podcasts, meetings, and interviews. ✔ Captions and subtitles in video content. ✔ Speech-to-text software for hands-free typing and accessibility tools. ElevenLabs ASR offers fast, reliable, and highly accurate speech-to-text conversion for multiple languages and accents.

ElevenLabs provides video transcription to convert spoken dialogue into text format, making it easy to create subtitles, captions, and searchable transcripts. Steps to transcribe video to text: 1. Upload your video file to ElevenLabs ASR 2. Speech recognition technology processes the audio 3. A transcript is generated automatically, with timestamps 4. Download the text file or export subtitles for editing. This AI-powered video transcription model helps content creators, businesses, and educators quickly convert video speech into accurate text for accessibility and content repurposing.

Starting from $0.22 per hour of transcribed audio, falling well below this at scale with Enterprise plans.

Yes. Scribe can auto-generate captions and subtitles for YouTube, TikTok, Instagram, and more—supporting multiple languages for accessibility and reach.

Scribe v3 is our most accurate Speech to Text model. In our internal tests it made fewer word errors than every model we tested, including GPT-Transcribe, Deepgram Nova-3, Gemini 3.5 Transcribe and MAI-Transcribe-2. It supports 90+ languages.

Yes. Real-time Speech to Text converts spoken words into text as they’re being spoken. Scribe v3 Live does this with a median latency of 150 ms, making it ideal for live conversations, meetings and AI agents. It’s available through the API.

Speech to Text can be used for meeting notes, podcasts, accessibility captions, customer service calls, and any task that requires converting spoken content into readable text. It also powers real-time AI assistants and automated workflows.

All Speech to Text data is encrypted in transit and at rest. Scribe supports SOC 2 and GDPR compliance. Enterprise plans add Zero Retention Mode, data residency in the EU, India and Singapore, and HIPAA support with a BAA.

Scribe runs in the cloud through the ElevenLabs app and API. On-premise deployment is available to qualified enterprise customers. Contact our sales team to discuss your requirements.

Yes. Scribe v3 labels up to 32 speakers automatically, with the lowest speaker error of every model we tested. Scribe v3 Live labels speakers in real time.

Speech to Text refers to the automatic process of converting spoken language into text using AI, while transcription software may include editing tools, formatting, and collaboration features built around that core technology.