Speech to Text

Excellent Accuracy (≤ 5% Word Error Rate - WER) Belarusian (bel), Bosnian (bos), Bulgarian (bul), Catalan (cat), Croatian (hrv), Czech (ces), Danish (dan), Dutch (nld), English (eng), Estonian (est), Finnish (fin), French (fra), Galician (glg), German (deu), Greek (ell), Hungarian (hun), Icelandic (isl), Indonesian (ind), Italian (ita), Japanese (jpn), Kannada (kan), Latvian (lav), Macedonian (mkd), Malay (msa), Malayalam (mal), Norwegian (nor), Polish (pol), Portuguese (por), Romanian (ron), Russian (rus), Slovak (slk), Spanish (spa), Swedish (swe), Turkish (tur), Ukrainian (ukr) and Vietnamese (vie). High Accuracy (>5% to ≤10% WER) Armenian (hye), Azerbaijani (aze), Bengali (ben), Cantonese (yue), Filipino (fil), Georgian (kat), Gujarati (guj), Hindi (hin), Kazakh (kaz), Lithuanian (lit), Maltese (mlt), Mandarin (cmn), Marathi (mar), Nepali (nep), Odia (ori), Persian (fas), Serbian (srp), Slovenian (slv), Swahili (swa), Tamil (tam) and Telugu (tel). Good (>10% to ≤20% WER) Afrikaans (afr), Arabic (ara), Assamese (asm), Asturian (ast), Burmese (mya), Hausa (hau), Hebrew (heb), Javanese (jav), Korean (kor), Kyrgyz (kir), Luxembourgish (ltz), Māori (mri), Occitan (oci), Punjabi (pan), Tajik (tgk), Thai (tha), Uzbek (uzb) and Welsh (cym). Moderate (>20% to ≤50% WER) Amharic (amh), Ganda (lug), Igbo (ibo), Irish (gle), Khmer (khm), Kurdish (kur), Lao (lao), Mongolian (mon), Northern Sotho (nso), Pashto (pus), Shona (sna), Sindhi (snd), Somali (som), Urdu (urd), Wolof (wol), Xhosa (xho), Yoruba (yor) and Zulu (zul).

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 $0.40 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.

The most accurate Speech to Text models use deep neural networks trained on large, multilingual datasets. Scribe achieves industry-leading accuracy across 90+ languages, outperforming models like Whisper, Deepgram, and Gemini in benchmark tests.

Yes. Real-time Speech to Text converts spoken words into text as they’re being spoken. With Scribe v2 Realtime, transcription occurs in under 150 milliseconds, making it ideal for live conversations, meetings, and AI agents.

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 processed with enterprise-grade security. Transcriptions can be handled through encrypted APIs, and sensitive information can be processed locally or with restricted access to meet compliance standards.

Speech to Text technology can work offline if models are deployed locally. Scribe supports cloud and on-premise configurations, allowing enterprises to control data handling while maintaining low latency and high accuracy.

Yes. Advanced Speech to Text systems use speaker diarization to distinguish and label multiple speakers automatically, even in overlapping conversations.

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.