Meet Kili's new audio interface: mark speaker turns on the waveform, edit transcripts segment by segment, and send them to expert review.

Explore the Audio Interface →
Product

Voice AI Shaped by Your Experts' Ear

Your ASR and diarization models get you a first draft. Kili puts that draft in front of your linguists and domain experts, who fix speaker turns and wording against the waveform, for AI evaluation, post-training and audio annotation.

*No credit card required. Risk-free evaluation.

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Features

Precision on Every Word and Speaker Turn

Your ASR and diarization models train and evaluate on data precise to the word and the speaker turn. Audio leaves no margin: a misheard term or a speaker boundary in the wrong place repeats in every model trained on it. Linguists and domain specialists fix both against the waveform, starting from your model's pre-labels.

See how audio is labeled

Specialist Time Spent Only Where It Counts

Native speakers and senior specialists are hard to book, so they only see the work that needs them. Annotators or your model take the first pass, and each review step forwards a sample to the reviewers you choose. You get expert-level quality without expert-level hours, and nobody signs off their own transcript.

See how review steps work

Sensitive Recordings Stay Under Your Control

Calls carrying health, financial or personal data never leave the boundary your security team sets. Keep raw audio in your own bucket while Kili runs the platform, or install Kili on your own Kubernetes, with no internet access needed after installation. SOC 2 Type II and ISO 27001 certified, GDPR and HIPAA compliant.

Read the hosting options

See if Kili is the best fit for your team and your data

Speak to our team for a free 14-day evaluation.

Your Speech Data Toolkit

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  • Speaker Diarization

    Draw segments on the waveform to mark who speaks and when, and assign, rename or recolor speakers from a right-click, or predefine them for the project. A mini-map and zoom keep long recordings navigable, and segments can arrive pre-filled from your diarization model.
  • Transcription

    Edit each segment's text in a transcription list synced to the waveform, with keyboard shortcuts to play, loop and move between segments. Import existing ASR output as a starting point, and add asset-level jobs such as language or audio quality.
  • Review Steps & Label History

    Add review steps with a sampling rate between them and assign who reviews each one. Step separation keeps labelers off their own reviews, reviewers correct segments before they submit, and each submitted label keeps its author and time.
Tools

Build structured datasets from all data types

Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.

Geospatial Imagery

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OCR & Document Layout Analysis

Turn unstructured documents into usable data with accurate text extraction and streamlined review workflows.

Natural Language Processing

Annotate text for NER, classification, and sentiment analysis with collaborative workflows.

Image Annotation

Annotate images 10x faster with SAM 2 integration and automated quality controls.

Video Annotation

Annotate long videos seamlessly and boost productivity with advanced automation.

Audio Annotation

Build quality-focused diarization and transcription workflows to improve ASR and Speaker Diarization models for domain-specific and multilingual use cases.

I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.
Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.
Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.
Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.
With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.
FAQ

Need help?

Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.

How does Kili handle speaker diarization?
Can business reviewers correct transcripts, or does it require ML engineers?
What quality controls are available for audio annotation projects?
Can Kili process sensitive call recordings on our own infrastructure?