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How to Extract Dates from Documents and Text

Find all dates in text documents, contracts, and emails. Supports multiple date formats.

2026-03-16Extract Data

Dates are critical in contracts, project plans, RFPs, and correspondence. The Extract Dates tool finds dates in multiple formats and collects them into a single list.

Supported Formats

The tool detects ISO dates (2026-03-15), US format (03/15/2026), and written dates (March 15, 2026 or Mar 15, 2026). All detected dates are deduplicated.

Common Use Cases

Pulling deadlines from contracts and agreements, extracting milestones from project plans, finding key dates in RFP documents, and collecting dates from email threads for scheduling.

RFP Date Extraction

For RFP-specific date extraction, use the Extract RFP Deadlines tool, which wraps date extraction with RFP context. It's designed specifically for procurement deadline tracking.

Pipeline Workflow

For contract review: paste the full contract text, run Extract Dates to find all dates, then review the timeline. For RFPs, chain Extract RFP Deadlines with RFP Text to Checklist for complete deadline tracking.

Try it now — paste your text below

Everything runs locally in your browser. No data is stored.

Extract Dates

Detect dates in multiple formats: YYYY-MM-DD, MM/DD/YYYY, and written formats like January 1, 2026. Useful for timeline extraction and scheduling.

Example

Input

Meeting on 2026-03-15. Deadline: 01/31/2026. Started March 1, 2025.

Output

2026-03-15
01/31/2026
March 1, 2025

How Extract Dates Works

Detect dates in multiple formats: YYYY-MM-DD, MM/DD/YYYY, and written formats like January 1, 2026. Useful for timeline extraction and scheduling.

This tool runs entirely in your browser — no data is sent to any server. Paste your text, click Run, and get your result instantly. You can also chain this tool with others using the pipeline feature: run Extract Dates, then continue with a related tool to build a multi-step text workflow.

TextRefinery is a free, open-source text processing toolkit. Learn more about regular expressions and text processing on the web.

TextRefinery — Browser-first text transformation tools. All processing happens locally in your browser.