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JevMade field notes / Extraction walkthrough

Finding exact email addresses and phone numbers in your documents

This guide explains how to pull exact details like phone numbers and prices from documents. It shows how to gather options first and then ask an AI tool to pick the right one.

Original by TypeSafe AIExtraction

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Credits

“Pre-parsed value extraction” by TypeSafe AI. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This guide explains a safer way to pull specific information out of messages and business documents. People use this method to find exact email addresses, phone numbers, or billing amounts without worrying that an AI assistant might accidentally change the text while copying it.

The process starts by using standard search rules to highlight every possible number or address in the text. Next, it uses Jev, an AI tool that chooses from options rather than writing an answer, to pick the correct detail. Finally, normal software copies and formats the chosen text.

This approach is useful for anyone building software to sort incoming invoices or messages. However, the initial search rules can still miss the right answer if the text uses unusual formatting, and finding names requires a separate list of people.

Key takeaways

  1. Gather all possible text matches before asking the AI tool to pick the correct one.
  2. Copy the chosen text exactly instead of asking an AI assistant to retype the answer.
  3. Use normal software rules to format phone numbers and money amounts after the choice is made.

The sample money formatting assumes United States number styles, which will not work correctly for all countries. The AI choice tool is also limited to reviewing no more than 255 options at once.

TypeSafe cookbook · Source reviewed

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