Theta One STT

Integration is simple with just a few lines of code using our REST API. You can use Python, JavaScript, or any language that supports HTTP requests. Simply make a POST request to our API endpoint with your audio file and API key, and you'll receive the transcribed text in the response. Our documentation provides detailed examples and best practices for integration.

Theta One is the world's only STT service that supports both child speech recognition (including pre-pubescent children) and Korean-English code-switching. Our technology enables accurate transcription for everyone, regardless of age or language mixing patterns.

Major Korean educational companies including LG, YBM, and DYB have chosen Theta One STT for their services. Our platform serves over 30,000 users every week, making it a trusted solution for educational and enterprise applications.

We support WAV, MP3, and M4A audio formats. The API automatically handles various sample rates and channels, optimizing them for the best recognition accuracy.

Our adult speech recognition achieves over 95% accuracy for both Korean and English. For child speech, we maintain over 95% accuracy, significantly outperforming other services that typically achieve only 80% or less.

The default rate limit is 100 requests per minute. If you need higher limits for production use, please contact our sales team to discuss custom plans.

Theta One STT currently supports Korean, English, and Korean-English code-switching (mixed language in a single sentence). We are continuously working to add support for more languages to expand our service capabilities.

Speech to Text (STT) is an AI technology that converts spoken language into written text. Our system uses advanced deep learning models trained on thousands of hours of audio data to accurately recognize speech patterns, phonemes, and words, then transcribes them into text in real-time.

Theta One STT is the only service that provides reliable child speech recognition. Most speech recognition models are trained primarily on adult voices and struggle with children's speech due to different vocal characteristics, pitch, and articulation patterns. Our proprietary technology, trained on over 10,000 hours of child speech data, achieves over 95% accuracy for children of all ages.

To transcribe video to text, first extract the audio track from your video file using tools like FFmpeg. Then, send the audio file to our API endpoint. Our system will process the audio and return the transcribed text. The entire process typically takes just seconds, depending on the audio length.

Theta One STT uses a simple pay-as-you-go pricing model at $0.0004 per second of audio processed. This means a 1-minute audio file costs only $0.024. There are no upfront costs or monthly fees - you only pay for what you use. Volume discounts are available for enterprise customers.

Theta One STT achieves industry-leading accuracy of over 95% for both adult and child speech recognition in Korean and English. While many services claim high accuracy for adult speech, Theta One is unique in maintaining 95%+ accuracy for children's voices, where most competitors fall below 80%.

Speech to Text has numerous applications: creating meeting transcripts and minutes, generating video subtitles and captions, building voice search functionality, developing educational apps with voice interaction, transcribing interviews and podcasts, enabling voice commands in applications, and creating accessible content for users with disabilities.

Yes, Theta One STT can provide word-level timestamps showing exactly when each word was spoken in the audio. This feature is useful for creating synchronized subtitles, analyzing speech patterns, or building interactive transcription interfaces. Contact our team to enable this feature for your account.

Code-switching refers to the natural practice of mixing two or more languages within a single conversation or sentence, such as "이 문장에서 extracted가 무슨 뜻이야?" Theta One is the world's only STT service that can accurately recognize Korean-English code-switching, understanding and transcribing both languages seamlessly within mixed-language speech.