OpenWhistle
Audio in. Structured intelligence out.
OpenWhistle transforms voice conversations into actionable, structured data. Key features include:
• Convert audio to structured JSON and Markdown reports
• Define custom agents for specific use cases (sales, support, HR)
• Process audio files via upload, URL, or direct recording
• Public API, webhooks, and marketplace for integrations
• EU-hosted infrastructure ensuring data privacy
This platform simplifies the extraction of critical information from spoken interactions. Users can describe their desired agent in plain language, specifying the JSON fields needed, and OpenWhistle handles the rest, from prompt compilation to schema generation. It processes long audio takes efficiently by chunking and parallel processing, making it suitable for a wide range of conversational data.
OpenWhistle is engineered for production environments, offering robust primitives for handling diverse conversational data. It employs a hybrid extraction method, combining deterministic rules with dynamic processing to ensure predictable costs, low latency, and an audit trail for every data point. The platform supports over 25 languages with automatic detection, allowing for accurate processing across multilingual audio batches.
Ideal for businesses and teams requiring precise data capture from voice interactions without complex development. Applications include lead qualification, customer support analysis, HR interview summarization, and market research. Deliver structured payloads, rendered Markdown reports, or signed events to various endpoints, seamlessly integrating with existing tools and workflows.