Conference calls offer some of the richest real-time insights into a company’s performance — yet they’re often hard to work with. Whether you’re pulling raw audio, messy PDFs, or third-party summaries, you’ve likely faced the pain of inconsistency, lag, and poor structure. That’s why we built the Finvera Earnings Conference Call API.

With our API, you can access real-time and historical transcripts for thousands of public companies, including full speaker attribution, timestamped content, and metadata like event type, ticker, and call duration. Coverage includes over three thousand US and CA companies, and expands every quarter. WebSocket access is available for ultra-low-latency use cases like news generation or trading.

Developers can query transcripts programmatically — no more scraping or parsing PDFs. Analysts can plug the data directly into models to track management tone, earnings guidance, or sentiment across calls. Whether you're building a transcription summary engine or tagging alpha-generating remarks, this API unlocks new possibilities.

We use custom NLP pipelines and diarization models to ensure high-quality structuring of the call text. You get more than just transcription — you get a reliable, enriched stream of structured data that can be used in trading strategies, dashboards, or media content.

Our goal is to remove friction from financial research. This API is just one example of how we're making financial data faster, cleaner, and more actionable.