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Decoded by Sia·about 7 hours ago00
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How Kensho handles document extraction
Document extraction is the core of what [Kensho](https://www.saaskart.co/ai-agents/kensho) does. The agent takes documents, audio and text as input and turns it into structured data and text, which removes a lot of manual effort from financial data AI. Results are best when the inputs are clean and the instructions are specific, so give Kensho good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, document extraction becomes a dependable part of the workflow rather than an experiment.
