Accurately convert speech into text powered by SnatchBot’s AI technologies.
Build natural and rich conversational experiences by giving users new ways to interact with your product by building engaging voice and text-based conversational interfaces powered by SnatchBot AI. You can connect with your users on your website, mobile app, Facebook Messenger, WhatsApp and other popular platforms and devices.
Powered by SnatchBot's machine learning
SnatchBot incorporates its proprietary machine learning expertise such as Speech-to-Text, Text-to-Speech and Automatic Speech Recognition. Apply the most advanced deep-learning neural network algorithms to audio for speech recognition with unparalleled accuracy. Accuracy improves over time as SnatchBot improves the internal speech recognition technology.
With Speech-to-Text Technology you can:
Transcribe your content with accurate captions
Deliver better user experience in products through voice commands
Gain insights from customer interactions to improve your service
Test SnatchBot Speech-to-Text Technology in Action
Use your microphone to record audio. For best results, use broadcast modules for microphone input.
Upload pre-recorded audio (.mp3, .mpeg, .wav, .flac or .opus only).
Play one of the sample audio files.
SnatchBot STT Technology recognizes 120+ languages
Speech-to-Text can support your global user base, recognizing more then 120 languages and variants. Some languages are supported and optimized for additional audio types: phone call, and enhanced video.
Automatically identifies spoken language
Using SnatchBot in-house Speech-to-Text Technology you can identify what language is spoken in the utterance (up to four languages). This can be used for voice search (such as, "What is the weather forecast for New York for the next two days?") and command use cases (such as, "Activate the AC in my car in 5 min.")
Returns text transcription in real time for short-form or long-form audio
Speech-to-Text can stream text results, immediately returning text as it's recognized from streaming audio or as the user is speaking. Alternatively, Speech-to-Text can return recognized text from audio stored in a file. It's capable of analyzing short-form and long-form audio.
Automatically transcribes proper nouns and context-specific formatting
Speech-to-Text is tailored to work well with real-life speech and accurately transcribe proper nouns (e.g., names, places) and appropriately format language (e.g., dates, phone numbers).
Automatic speech recognition
Automatic speech recognition (ASR) powered by deep learning neural networking to power your applications like voice search or speech transcription.
Real-time streaming or pre-recorded audio support
Audio input can be streamed from an application's microphone or sent from a pre-recorded audio file.
Handles noisy audio from many environments without requiring additional noise cancellation.
With its omni-channel-approach, the SnatchBot platform offers you its Speech-to-Text Technology across more than 15 messaging applications, from WhatsApp to Telegram and Facebook Messenger to name a few.