Extract Dates
Pull every date reference out of text — "next Tuesday", "Q3 2025", "March 14" — and (optionally) normalize to ISO. Runs entirely in your browser; useful for cleaning meeting notes, emails, or invoices.
About Extract Dates
Extract Dates finds every date reference in a block of text — including fuzzy ones like "next Tuesday," "Q3 2025," and "March 14" — and can optionally normalize them to ISO format. It's built for cleaning up meeting notes, emails, and invoices where dates hide in prose. It runs entirely in your browser and returns the results as JSON.
- Category
- text
- Input
- Accepts: text/plain.
- Output
- Outputs: application/json.
- Cost
- Free, runs in your browser
- Memory
- low
Common uses
- Pull deadlines and due dates out of a long email thread into a clean list
- Extract invoice and payment dates from billing text for a spreadsheet
- Find every scheduling reference in meeting notes and normalize them to ISO
- Collect mentioned dates from a contract draft for review
- Turn loose phrasing like "next Friday" into concrete ISO dates
- Audit a document for every time period it references
Frequently asked questions
Can it understand relative dates like "next Tuesday"?
Yes. It recognizes fuzzy references such as "next Tuesday," "Q3 2025," and "March 14," and can normalize them to ISO format.
What does it output?
JSON listing the date references it found, with optional ISO normalization, so results are easy to process further.
Is my text uploaded?
No. Date extraction runs entirely in your browser; the text never leaves your device.
What does a relative date normalize against?
Relative phrases are resolved relative to the current date, so "next Friday" becomes a concrete ISO date when normalization is enabled.
What input does it take?
Plain text — paste notes, emails, or invoice text directly.
Keywords
- dates
- extract
- parse
- iso
- calendar
- normalize
- nlp