AI Transcription Service

Convert speech to text with industry-leading accuracy. Transcribe meetings, interviews, lectures, podcasts, medical dictation, and legal proceedings in 99 languages. Powered by Faster Whisper (4x faster than OpenAI Whisper) and SenseVoice with emotion detection.

Meetings Interviews Medical Legal 99 Languages

Бүх STT хэрэгсэлName API баримтууд

Зохиогчийн нэр:

Бүх STT хэрэгслийг нээх

AI Transcription Features

Accurate, fast, and affordable speech-to-text for every use case

99 Language Support

Transcribe audio in 99 languages with Whisper and Faster Whisper. Translation to English included for cross-language workflows.

4x Faster Processing

Faster Whisper delivers the same accuracy as OpenAI Whisper at 4x the speed and lower memory usage.

Timestamps & Segments

Word-level and segment-level timestamps for precise reference. Export timestamped transcripts for video subtitles.

Emotion Detection

SenseVoice detects speaker emotions, audio events, and sentiment alongside transcription for rich metadata.

Speaker Identification

Speaker diarization labels who said what in multi-participant recordings like meetings and interviews.

Multiple Export Formats

Export as plain text, SRT subtitles, VTT captions, or JSON with full metadata. Ready for any platform.

Speech-to-Text Models

Industry-leading transcription engines

Faster Whisper

4x faster than Whisper with CTranslate2 optimization, same accuracy.

Хамгийн сайн: Best overall — 4x faster than Whisper, same accuracy, recommended for most use cases

Хийх Faster Whisper

Whisper

OpenAI's robust speech recognition model supporting 99 languages.

Хамгийн сайн: Reference model by OpenAI with robust 99-language support and translation

Хийх Whisper

SenseVoice

Speech understanding model with emotion detection, 50+ languages.

Хамгийн сайн: Emotion detection and audio event analysis alongside transcription

Хийх SenseVoice

How to Transcribe Audio with AI

Upload, transcribe, and export in seconds

Upload Audio or Video

Upload MP3, WAV, M4A, OGG, FLAC, or video files up to 50MB. Supports all common formats.

Select Model & Language

Choose Faster Whisper for speed, Whisper for translation, or SenseVoice for emotion detection. Select the source language.

Transcribe

Processing takes seconds to minutes depending on file length. Real-time progress updates.

Review & Export

Review the transcript, edit if needed, and export as text, SRT, VTT, or JSON with timestamps.

Transcription for Every Industry

Purpose-built workflows for professionals

Business Meetings

Transcribe Zoom, Teams, and Google Meet recordings automatically. Get accurate meeting notes with speaker identification, timestamps, and action items. Process recordings from any meeting platform — just upload the audio or video file.

Speaker diarization for multi-participant calls
Timestamp annotations for reference
Supports all meeting recording formats
Bulk processing for meeting archives

Journalism & Interviews

Transcribe interviews, press conferences, and field recordings with 95%+ accuracy. Faster Whisper handles noisy environments and multiple speakers. Get word-level timestamps for precise quote attribution and fact-checking.

Word-level timestamps for quoting
Noise-robust transcription
99-language support for international reporting
Translation to English included

Medical Transcription

Transcribe medical dictation, patient consultations, and clinical notes. Whisper-based models handle medical terminology with high accuracy. Process SOAP notes, surgical reports, and patient history narratives from voice recordings.

Medical terminology handling
SOAP note formatting
HIPAA-aware processing
Dictation-to-text workflows

Legal Transcription

Transcribe depositions, court proceedings, client meetings, and legal dictation. Get accurate transcripts with speaker labels and timestamps for case documentation. Our models handle legal terminology and formal language patterns.

Speaker-labeled transcripts
Legal terminology accuracy
Timestamped for reference
Bulk deposition processing

Academic & Research

Transcribe lectures, seminars, research interviews, and focus groups. Create searchable archives of academic content. SenseVoice adds emotion and sentiment detection for qualitative research analysis.

Lecture and seminar transcription
Research interview processing
Emotion detection for qualitative research
Multilingual academic content

Media & Content

Generate subtitles and captions for videos, transcribe podcast episodes for show notes, and create searchable text from audio archives. Export in SRT, VTT, or plain text format for any platform.

SRT/VTT subtitle export
Podcast show notes generation
Video captioning for YouTube/TikTok
Audio archive digitization

Transcription Engine Comparison

Choose the right model for your needs

Model	Speed	Languages	Арга хэмжээнүүд	Хамгийн сайн
Faster Whisper	4x Faster	99	VAD filtering, batch processing	Ихэнх хэрэглээний тохиолдол (шалтгаан)
Whisper	Standard	99	Translation to English, timestamps	Translation tasks, reference accuracy
SenseVoice	Fast	50+	Сэтгэл хөдлөлийг илрүүлэх, дууны үйл явдал, яригчийг шинжлэх	Research, sentiment analysis

Transcription Accuracy and Performance

95%+

English Accuracy

Languages Supported

Faster Than Whisper

2hr

Max Audio Length

Transcription API

Integrate transcription into your application

Python (Transcribe Audio File) REST API

import requests

with open("meeting_recording.mp3", "rb") as f:
    response = requests.post("https://api.tts.ai/v1/stt", files={
        "audio": f
    }, data={
        "model": "faster-whisper",
        "language": "en",
        "timestamps": "true"
    }, headers={"Authorization": "Bearer YOUR_API_KEY"})

result = response.json()
print(result["text"])       # Full transcription
print(result["segments"])   # Timestamped segments

Заримдаа асуудаг асуултууд

Common questions about AI transcription

Our models achieve 95%+ accuracy on clear English speech. Accuracy varies by language, audio quality, and background noise. Faster Whisper and Whisper are trained on 680,000 hours of data and approach human-level accuracy on clean recordings.

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Тийм ээ. Хөгжүүлэгчдийн диаграмм нь бичлэгт байгаа өөр өөр дуучдыг тодорхойлж, тэмдэглэнэ. Энэ нь дуучдын солигдох үед хамгийн сайн ажилладаг. Хөгжүүлэгчдийн яриа давхцах нь үнэн зөв байдлыг бууруулж болно.

Whisper-based models handle specialized terminology well because they are trained on diverse data. For critical medical or legal transcription, we recommend reviewing the output for accuracy as no automated system is 100% accurate with specialized terms.

Yes. Export transcriptions as SRT or VTT subtitle files with accurate timestamps. These files can be uploaded directly to YouTube, Vimeo, or any video platform that supports standard subtitle formats.

Yes. Our REST API supports batch transcription, real-time streaming, and webhook notifications. Send audio files to the /v1/stt endpoint and receive transcribed text with timestamps. See the API documentation for examples in Python, JavaScript, and cURL.

SenseVoice by Alibaba goes beyond transcription — it detects speaker emotions (happy, sad, angry), audio events (laughter, applause, music), and provides rich metadata about the audio content. It supports 50+ languages. Use it when you need more than just text.

Whisper-based models are trained on diverse audio conditions and handle moderate background noise reasonably well. For best results, use the large model size and consider running the audio through our Audio Enhancer tool first to reduce noise before transcription.

The API supports streaming transcription for near-real-time use cases. Send audio chunks as they are recorded and receive transcription results progressively. This works well for live captioning, meeting notes, and accessibility applications.

Yes. Whisper and Faster Whisper include a built-in translation mode that transcribes audio in any of the 99 supported languages and outputs the text in English. This is useful for understanding foreign language content without a separate translation step.

Use the largest model size available for best accuracy. Provide clean, high-quality audio whenever possible. For recurring specialized terms, you can post-process the transcript with find-and-replace to correct common domain-specific misrecognitions.

You can upload MP4, MOV, AVI, MKV, and WebM video files. The system automatically extracts the audio track for transcription. This makes it easy to generate subtitles or transcripts directly from video content without manual audio extraction.

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Ready to Transcribe?

Start transcribing for free. 99 languages, 95%+ accuracy, instant results. No credit card required.

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