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We're a Y-Combinator funded team of Deep Learning Researchers, working towards achieving human-level accuracy with machine transcription.
We're privacy focused, and don't harvest your data for training our models like other big tech companies do.
Boost accuracy for keywords and phrases, like product names, person names, or other key terms.
Get started in minutes with our simple REST API using any language: Python, Node, Ruby, PHP, C#, etc.
All customers get a dedicated Slack Channel with our engineers for 24x7 technical support and feedback.
Dual channel support, punctuation, proper noun formatting, PII redaction, etc. See a full list of features here.
We're funded by the top investors in Silicon Valley including Y Combinator and TechNexus Venture Collaborative.
We apply the latest Deep Learning research to speech recognition, and release accuracy updates every 6 weeks.
Transcription text is automatically punctuated to make transcripts more readable.
Casing is automatically added to proper nouns (like cities and names) in the transcription text.
Transcribe dual channel/stereo audio files with the API, and get a transcript for each channel automatically.
Sensitive information like credit cards and social security numbers can be automatically redacted from the transcription.
Easily boost accuracy for proper nouns, like person and product names, specific to your use case.
Choose from a number of models that best match your data for the highest accuracy.
We're here to work with you as much, or as little, as you'd like. Talk to us over live chat, Slack, email, or phone.
The API natively supports virtually any audio/video file, so you don't need to worry about transcoding your data.
Latest from the Blog: Building an end-to-end speech recognition model in PyTorch >