Extract Code Docstring Generator — Research AI

Researchers analyze thousands of documents for insights. Manual analysis is time-consuming and may miss connections.

32
Fields Extracted
300s
Max Processing

What This Template Does

AI-powered extraction using gemini-2.5-flash. Part of 113 production-ready templates.

Capabilities

  • Data Extraction
  • Summarization
  • Document Processing
  • Python
  • Documentation

Output Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Code Docstring Generator Output Schema",
  "description": "Schema for Python code documentation extraction output",
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Function, method, or class name"
    },
    "document_type": {
      "type": "string",
      "enum": [
        "python_function",
        "python_method",
        "python_class",
        "python_module",
        "pyt
...

Quick Start

$ pip install doclayer
$ doclayer process document.pdf --agent research.code-docstring

See It In Action

Real extraction example showing input document and structured output.

Input Document
def merge_sorted_arrays(
    arr1: list[int],
    arr2: list[int],
    descending: bool = False
) -> list[int]:
    """Merge two sorted arrays into a single sorted array."""
    result = []
    i = j = 0

    while i < len(arr1) and j < len(arr2):
        if arr1[i] <= arr2[j]:
            result.append(arr1[i])
            i += 1
        else:
            result.append(arr2[j])
            j += 1

    result.extend(arr1[i:])
    result.extend(arr2[j:])

    if descending:
        result.reverse
Extracted Data
{
  "name": "merge_sorted_arrays",
  "document_type": "python_function",
  "purpose": "Merge two sorted arrays into a single sorted array",
  "description": "Takes two pre-sorted integer arrays and merges them using a two-pointer technique to produce a single sorted output. Optionally reverses the result for descending order.",
  "parameters": [
    {
      "name": "arr1",
      "type": "list[int]",
      "description": "First sorted array of integers",
      "required": true
    },
    {
      "name": "arr2",
      "type": "list[int]",
      "description": "Second sorted array of integers",
      "required": true
    },
    {
      "name": "descending",
      "type": "bool",
      "default": "False",
      "description": "If True, return result in descending order",
      "required": false
    }
  ],
  "return_type": "list[int]",
  "return_description": "A new sorted list containing all elements from both input arrays",
  "complexity": {
    "time": "O(n + m)",
    "space": "O(n + m)"
  },
  "is_async": false,
  "is_generator": false,
  "examples": [
    {
      "code": "merged = merge_sorted_arrays([1, 3, 5], [2, 4, 6])",
      "description": "Basic merge of two sorted arrays"
    },
    {
      "code": "merged_desc = merge_sorted_arrays([1, 3, 5], [2, 4, 6], descending=True)",
      "description": "Merge with descending order output"
    }
  ],
  "docstring_style": "google"
}

Example showing extraction of function/method documentation from source code with parameters, return types, and docstring analysis. Demonstrates parsing of docstring formats (Google, NumPy, Sphinx) for automatic documentation generation.

Frequently Asked Questions

What documents can Code Docstring Generator process?

The Code Docstring Generator template processes research documents including various formats and layouts. See the instructions for specific document types supported.

How accurate is the Code Docstring Generator extraction?

The Code Docstring Generator template uses Gemini 2.5 Flash for high-accuracy extraction. Results include confidence scores for each field.

Can I customize the Code Docstring Generator template?

Yes, you can modify the extraction schema, add custom fields, or adjust the instructions to match your specific requirements.

Start Extracting Data Today

Process your first document in under 5 minutes. No credit card required.