Audio transcription tool
Kili Technology makes audio transcription fast and simple. Classify audio to identify speakers or topics. Perform speech to text tasks from audio and video files easily to build your datasets. Highly customizable interfaces allow you to combine tasks to improve productivity.
Our partners already deployed successfully thousands of AI projects into production thanks to Kili.
Fast audio transcription on all use cases
From simple audio classification to advanced speech to text tasks, your audio transcription projects become much simpler. Start, pause, and playback your audio file, while modifying the audio speed to follow your audio transcription rhythm. Adjust timestamps, identify speakers, and import pre-defined voice transcriptions using our special recipes. Each annotation interface is designed to increase your work productivity. Kili Technology audio transcription tool allows high composability to adapt to the specific needs of each use case.
File types: mp3, mp4, flac.
Master labeled audio data quality
Kili Technology audio transcription tool is available online or on-premise, which facilitates the collaboration between business experts, external workforce, and data-scientists. Labeled data quality control is built-in thanks to the simple & powerful tools: consensus analysis, honeypot, review, and last but not least instructions for the speech to text tasks.
Collaboration made simple between tech teams & annotators
Kili audio annotation tool is designed to simplify collaboration: on-board business experts and external labeling workforce, built-in data governance tools, and powerful data queue management distribution when you need to scale the labeling of a large volume of data.
Work on a solid speech to text platform
Kili Technology audio transcription tool is available online or on premise. We developed recipes, which are made open source on our Github for the community. These help to use our powerful GraphQL API to simplify interactions with the platform. Kili Technology is designed as an open solution to the ecosystem: you can plug for instance Yolo (open source framework) to do transfer learning in order to speed-up the speech to text process. A Python API makes it even simpler for everyone.
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