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Trusted by 200+ Customers
Who We Serve
ML Engineers
Training models for speech recognition, sound event detection, or language identification
Struggling with delays in labeling complex or noisy audio data
Dataset Providers
Supplying labeled audio for security, healthcare, and media industries
Needing fast and accurate audio labeling to meet client demands
AI-Powered Business
Using ML for voice assistants, customer analytics, or sound monitoring
Overwhelmed by mass volumes of raw data needing consistent labeling
Academic Researchers
Creating labeled audio datasets for studies or language research
Lacking time and resources for manual audio labeling
Check Your Audio Labeling Needs
Voice Assistants
Automated Customer Support
Language Learning
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Call Center Analysis
Social Media Monitoring
Therapeutic Apps
Train models to detect emotions in audio using sentiment-labeled voice data.
Business Meetings
Court Transcriptions
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Smart Home Security
Wildlife Monitoring
Urban Noise Mapping
Classify environmental sounds or events in audio recordings with annotated sound categories.
Media Subtitling
Accessibility Tools
Academic Research
Convert speech to text with accurately transcribed and annotated audio datasets.
Voice Assistants
Automated Customer Support
Language Learning
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Call Center Analysis
Social Media Monitoring
Therapeutic Apps
Train models to detect emotions in audio using sentiment-labeled voice data.
Business Meetings
Court Transcriptions
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Smart Home Security
Wildlife Monitoring
Urban Noise Mapping
Classify environmental sounds or events in audio recordings with annotated sound categories.
Media Subtitling
Accessibility Tools
Academic Research
Convert speech to text with accurately transcribed and annotated audio datasets.
How It Works
Free Pilot
Submit your audio data for a free trial and assess our labeling services risk-free.
QA
Review the results to ensure they meet your accuracy and budget requirements.
Proposal
Get a proposal tailored to your specific audio labeling project needs.
Start Labeling
Begin the audio labeling process with our team to move your project forward.
Delivery
Receive your labeled audio data on time, keeping your project on track.
Calculate Your Cost
Estimates 
Send your sample data to get the precise cost FREE
Reviews
What Our Clients Say
Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.
Jack Prescott
Software Engineer, Nex
Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.
Ben Niehaus
CTO, SpexAI GmbH
Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.
Piotr Swierczynski
Director of Engineering, NODAR
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.
Josha Bharadwa
Software Architect, Searidge Technologies
Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.
Radouane Kaddari
Machine Learning Engineer, Peter Park
Why AI Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
FAQs
What is audio labeling?
Audio labeling involves tagging parts of an audio file, like speech, sounds, or specific speakers, to make it easier for machine learning models to process. Whether identifying key words in a conversation or distinguishing different sound events, audio labeling improves AI systems like virtual assistants or audio monitoring tools.
How do I annotate audio files?
Annotating audio files involves breaking down the audio and tagging key elements like speech segments, sounds, or speaker changes. You’d typically use software to mark these sections, which can get complicated with overlapping sounds or background noise. To avoid these hurdles, you can trust the process to Label Your Data. We handle the entire audio labeling process so you can focus on building your models.
What is the tool used for audio annotation?
At Label Your Data, we use our in-house tools specifically designed for accurate and efficient audio annotation. However, if you have a preferred tool, our team is flexible and can work with the platform of your choice. We ensure your project is managed seamlessly, no matter the tool used.