mail2task 0.7.0

Extract actionable tasks from emails using Python

mail2task

Extract actionable tasks from messy emails using Python.

Features

• Extract task-like sentences
• Detect due dates
• Detect priority levels
• Clean JSON output
• CLI support

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Installation

pip install mail2task

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Usage

Python

from mail2task import extract_tasks

email = """
Please submit the compliance report by Friday.

Schedule the onboarding meeting tomorrow.
"""

tasks = extract_tasks(email)

print(tasks)

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CLI

Create a text file:

Please submit the report by Friday.
Schedule the client call tomorrow.

Run:

mail2task sample_email.txt

Output:

[
  {
    "title": "submit the report by Friday.",
    "due_date": "2026-05-29T00:00:00",
    "priority": "normal",
        "confidence": 0.9

  }
]

Pretty Output

mail2task sample_email.txt --pretty

Save Output

mail2task sample_email.txt --output tasks.json

Export Formats

JSON

mail2task sample_email.txt --format json

CSV

mail2task sample_email.txt --format csv

Markdown

mail2task sample_email.txt --format markdown

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Example Use Cases

• Email automation
• Productivity apps
• AI assistants
• CRM workflows
• Task management systems

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NLP Features

• Sentence splitting
• Greeting/signature filtering
• Due date extraction
• Priority detection
• Confidence scoring

NLP Engine

mail2task uses spaCy for:

• sentence segmentation
• tokenization
• action verb detection
• lightweight NLP parsing

.eml Email Support

mail2task can process raw email files directly.

mail2task sample_email.eml --pretty

Project Structure

mail2task/
├── src/
├── tests/
├── README.md
├── pyproject.toml

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License

MIT License