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Core

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We are constantly looking for ways to improve Datasnipper, and we believe that the best way to do this is by listening to our users. We would love to hear your ideas and suggestions for how we can make the product even better.

Whether you have a feature request or a general suggestion, we want to hear it all. Your feedback is valuable to us, and it will help us prioritize our roadmap and make sure that we are building the right things for our users.
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Core

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2 results found

  1. Dash to Zero Conversion

    Is it feasible to implement an automatic dash-to-zero conversion for numerical data extracted from tables? By identifying tables with primarily numerical values, the system could infer that dashes represent zeros and replace them accordingly. This feature would enhance user experience, especially when dealing with large datasets

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    Gathering Feedback  ·  0 comments  ·  OCR (text recognition)  ·  Admin →
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  2. OCR Health Score

    Implement a confidence scoring system to provide users with insights into the accuracy of OCR-extracted text. I envision this feature offering both document-level and word/number-level confidence scores, empowering users to evaluate the reliability of the extracted data and make informed decisions.

    Granular Confidence Levels: Clearly define confidence score ranges (e.g., high, medium, low) and provide corresponding probability values for better interpretability.
    Visual Indicators: Incorporate visual cues (e.g., color-coding, icons) to quickly convey confidence levels, enhancing user experience.

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    Gathering Feedback  ·  0 comments  ·  OCR (text recognition)  ·  Admin →
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