November 22, 2025
High-performance audio transcription API with multiple model options, real-time streaming, speaker diarization, and support for 99+ languages.
Today, SVECTOR announces Speech-to-Text API, a comprehensive audio transcription service powered by our proprietary speech recognition model. This locked, optimized model delivers professional-grade transcription with consistent performance and advanced features like speaker diarization and real-time streaming.
The Transcription model is SVECTOR's second-generation speech recognition technology, built from the ground up for production environments. With support for 99+ languages, real-time streaming capabilities, and enterprise-grade reliability, this API delivers accuracy and performance for demanding applications.
Designed for simplicity and reliability, the Speech-to-Text API provides a straightforward REST interface with subscription-based usage management, detailed analytics, and advanced audio processing capabilities—all powered by SVECTOR's technology.
The Speech-to-Text API provides multiple transcription models optimized for different use cases. From lightweight real-time transcription to advanced speaker-aware diarization, choose the model that best fits your application requirements.
Transcription is SVECTOR's automatic speech recognition model, designed for production reliability and consistent performance:
SVECTOR's second-generation speech recognition model, built from scratch for enterprise applications. Transcription is an ASR model, meaning it maintains consistent behavior and performance across all requests without dynamic updates or variations.
The API supports transcription in 99+ languages including Gujarati, Hindi, Afrikaans, English, Arabic, Chinese, French, German, Japanese, Korean, Portuguese, Russian, Spanish, and many more. Automatic language detection ensures accurate transcription regardless of input language.
All models exceed industry-standard 50% word error rate (WER) benchmarks for supported languages, providing reliable accuracy across diverse linguistic contexts and accents.
Transcription includes built-in speaker diarization capabilities for identifying and separating multiple speakers in audio recordings. The API automatically segments audio by speaker and provides speaker-aware transcripts with timestamps:
Stream transcription results in real-time with progressive audio processing. Transcription supports both completed audio file transcription with streaming output and live audio stream transcription for interactive applications like voice assistants and real-time captioning.
Simple REST API with straightforward authentication and intuitive endpoints:
curl --request POST \
+ --url http://api.svector.co.in/api/v1/audio/transcriptions \
+ --header "Authorization: Bearer $API_KEY" \
+ --form file=@/path/to/audio.mp3The Speech-to-Text API powers diverse applications requiring accurate audio transcription:
Automatic transcription of meetings, conferences, and discussions with speaker identification for clear attribution and searchable records.
Real-time speech recognition for conversational AI, voice commands, and interactive voice response systems with low-latency processing.
Generate subtitles, captions, and transcripts for videos, podcasts, and multimedia content with precise timestamp synchronization.
Transcribe call center recordings for quality assurance, training, compliance monitoring, and customer interaction analysis.
Accurate transcription of depositions, court proceedings, and legal interviews with speaker attribution and verbatim accuracy.
Medical dictation and clinical documentation with specialized vocabulary support and HIPAA-compliant processing capabilities.
Academic research, qualitative analysis, and interview transcription with support for multiple speakers and technical terminology.
Real-time captioning for live events, broadcasts, and educational content to ensure accessibility for hearing-impaired users.
The Speech-to-Text API leverages state-of-the-art neural network architectures optimized for speech recognition across diverse audio conditions. Multiple model options provide flexibility for different accuracy, speed, and feature requirements.
The API includes sophisticated features for enhanced transcription quality:
Built-in usage tracking and subscription limits enable flexible deployment models with transparent billing. Monitor usage, check limits, and manage quotas through dedicated API endpoints for complete control over transcription resources.
SVECTOR is committed to responsible AI deployment and user privacy. Speech-to-Text API users should follow ethical guidelines:
Audio files are processed securely and not stored beyond the transcription process. Implement appropriate data handling practices and comply with privacy regulations like GDPR and CCPA.
Obtain proper consent before recording and transcribing conversations. Ensure all parties are aware of recording and comply with applicable recording consent laws.
While highly accurate, automated transcription may contain errors. Verify critical transcriptions manually, especially for legal, medical, or high-stakes applications.
Use the API responsibly and avoid applications that could harm individuals or violate rights. Comply with all applicable laws and ethical standards for your use case.
As with any speech recognition system, the Speech-to-Text API has certain limitations: