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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.
If you want to report a bug, please use this link https://knowledge.datasnipper.com/kb-tickets/new to reach out to our support team. They will be able to help you troubleshoot the issue and ensure that it gets resolved quickly.

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6 results found

  1. I noticed recently that when I redact text, that text can still show up as a "hit" when I search for something... I think there should be an option where redacted text should either be excluded from search "hits" or shouldn't be included any searching at all. Thanks!

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    New  ·  0 comments  ·  OCR (text recognition)  ·  Admin →
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  2. If I, after running OCR on a PDF, export the pdf to my computer, the text is unrecognized and I can't search it anymore using for example Acrobat. It would be nice and usefull if a PDF that was text recognised, stays that way after export.

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    New  ·  0 comments  ·  OCR (text recognition)  ·  Admin →
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  3. Currently, it is only possible to authenticate to the OCR endpoint using an API key. There are other (more secure) authentication methods available to be configured on these resources within Azure. It would be beneficial if DataSnipper would support changing the authentication method that DataSnipper uses

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    New  ·  0 comments  ·  OCR (text recognition)  ·  Admin →
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  4. 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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  5. 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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  6. OCR - Punctuation standardisation - apostrophes & quote marks

    When running OCR on documents depending on font some punctuation, particularly apostrophes & quote marks, come out differently e.g. Group's vs. Group’s.

    This causes issues when using the financial statement suite & version compare features in particular as a lot false changes get flagged which muddy the waters significantly. If logic can be built in so the characters used for apostrophes & quote marks are consistent across the board that would be ideal, I think this setting would be best as the default and having an option to switch back to…

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    This has been deferred (not planned for the next 6 months).


    Please continue to share this idea, we will continue to monitor for votes and comments!

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