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GRAPHLOGIC
Speech-to-text API

Unleash Superior Speech-to-Text Capabilities with Cutting-Edge Features: Batch Processing, Custom Vocabulary, Enterprise-Grade Scalability and many more.

Accuracy: 8.5 word error rate (WER)

Demo Try it now
Demo Try it now
Speech recognition models
Graphlogic ASR
Graphlogic’s Automatic Speech Recognition (ASR) technology is revolutionising the way businesses convert spoken language into written text. Our state-of-the-art ASR system offers unparalleled accuracy, efficiency, and customisation to meet the diverse needs of our clients.
Custom
Enhance accuracy by integrating custom models with Graphlogic’s ASR, tailored to recognize your customers’ unique vocabulary and industry-specific terms.
Features
Batch processing
Process multiple files concurrently in batch mode
Customised vocabulary & speech models
Tailor the model to better recognise unique vocabulary of your customers
Noice reduction
Redundant noice is being eliminated to improve accuracy
Reduction to depersonalise data
Depersonalise data on your side to ensure data protection Punctuation
Profanity filter
Filter out words deemed offensive
Multiple languages
Multilingual support to serve your customers worldwide
Enterprise-grade scalability
Handle significant workload increases while maintaining performance.
How to launch?
STEP 1
Deliver a dataset
STEP 2
A model is to be trained
STEP 3
A model is to be deployed
STEP 4
Monitor and improve the accuracy

Use Cases

  • Real-time transcribed captions for educational videos
  • Transcriptions for court proceedings
  • Transcriptions for healthcare appointments
  • Documenting steps during surgeries
  • Voice biometrics
  • Voice commands for smart speakers
  • Instant speech-to-text translation
  • Captioning for educational materials
  • Automated scoring of oral exams and presentations
  • Contact-centers calls monitoring
  • Sales calls monitoring

Frequently Asked Questions

How many languages are supported?

For now we support English, German, Spanish, Russian, and Thai

How long will it take to develop a new language?

A 1000-hour heterogeneous speech training dataset is required to develop a new language. Exact terms will be subject to the quality of this dataset and whether a model for this language already exists or not.

How long does it take to customize ASR to specific needs?

Once heterogeneous speech dataset for at least 100 hours is provided, it takes one week to develop a custom model for you.

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