Use our data labeling tools and templates to create high quality training data for audio based ML models. Generate or annotate audio files for any type of project.
Hand your data labeling tasks over to our global crowd and get scalable human
insights for your audio data in over 40 languages.
Pick a project preset for audio data that matches your use case. Or start from scratch and design your own template.
Choose the audience, quality control methods, and other options.
Upload the first batch of raw data for labeling. Launch your pool of tasks and monitor progress as tasks are completed.
Download the file with results and get ground truth data.
Tweak settings to improve results for the next batch of audio data.
Our platform is purpose-built to meet the most challenging data labeling demands.
Our technologies have grown out of scientific research and 10 years of practical experience to make optimal quality attainable in labeled data.
Our diverse global crowd spans every time zone for non-stop labeling and instant scaling, with support for 40+ languages.
Fault-tolerant high-load system for rapid knowledge enrichment that prioritizes data security and privacy.
ML teams can integrate an on-demand workforce directly into their processes to build scalable and fully automated data pipelines.
Skip model development — start off with our pre-trained autoML model for speech recognition and automatically tune it as needed using your data streams. Capture the text from audio content in 13 languages (English, German, French, Italian, Spanish, Portugese, Finnish, Swedish, Dutch, Polish, Russian, Kazakh and Turkish), with automatic language detection. Our model recognizes speech on any topic, including short and long utterances, names, addresses, dates, and numbers.Learn more