What eDocAPI actually does

A focused document toolkit — convert, extract, OCR, compress, merge — and a lightweight App for building document APIs.

Document Conversion

DOCX → PDF with ReportLab layout (preserves headings, tables, page breaks). HTML & Markdown → PDF. Images → PDF. Optional renderers are available for richer output.

Text Extraction

Pull clean text from PDFs, DOCX, HTML, Markdown and more. Simple .extract_text() that just works.

OCR (optional)

OCR for scanned PDFs and images uses the external Tesseract program. Install edocapi[ml] and Tesseract; PDF page rendering may also require edocapi[pdf-images] and Poppler. The API OCR route is enabled with App(enable_ocr=True).

Compress & Merge

Compress PDFs and images, with an optional best-effort target size that depends on the input and output format. Merge multiple PDFs into one.

Lightweight App

Build document APIs with a tiny App class. Interactive developer dashboard included out of the box.

Security First

File-signature and extension checks, path sanitization, size limits, collision-resistant temporary names, and automatic cleanup.

Why developers reach for eDocAPI

Most document libraries pull in heavy dependencies or force complex setups. eDocAPI brings document tools and a simple App together when you need an API — so you stay in control of your workflow.

Lightweight by design

Install only the optional features you need, with a focused core for document workflows.
DOCX → PDF without GTK

ReportLab-based layout converts DOCX files without requiring WeasyPrint’s native libraries. Output preserves supported headings, tables, and page breaks.
Security that is actually useful

File-signature checks, path sanitization, size limits, temporary-file isolation, and safe response headers help make document handling more predictable.
Built in Nigeria, for everyone

Created by Emmanuel Emmanuel Etim. Open source, MIT licensed, and designed to stay lightweight and honest.

library.py

from edocapi import Document

# From a file
doc = Document("report.docx")
pdf = doc.to_pdf()
text = doc.extract_text()
info = doc.info()

# From in-memory content
doc = Document.markdown("# Hello\n\nWorld")
pdf = doc.to_pdf()

# OCR (pip install edocapi[ml])
text = Document("scan.png").ocr(lang="eng")

# Merge & compress
merged = Document.merge(["a.pdf", "b.pdf"])
small  = Document("large.pdf").compress(target_size=500_000)

Changelog

Journey to v0.2.0

What was actually shipped — from the first public versions to the current release.

v0.2.0 Latest v0.1.1 v0.1.0 v0.0.2

EDOCAPI RELEASE NOTE Latest · v0.2.0 2026-10-17

Reliability, security & release quality

Predictable failures, safer uploads, blocked resource fetches during rendering, rate limits, streaming cleanup, and CI across Python 3.10–3.13.

Security Rate limits Upload validation CI & tests Streaming

Open release note Download PDF

PREVIOUS RELEASE v0.1.1 2026-10-15

Independence & power

ASGI app, OCR, converters, security hardening, CLI, and interactive dashboard.

Open release note Download PDF

v0.2.0 Current 2026-10-17

Reliability & security

• Predictable errors for missing, empty, encrypted, or unsupported docs
• Strict extension, size, encoding, and signature validation
• Block local/remote resource fetches in HTML, Markdown & DOCX PDF
• Streamed multipart uploads with per-file and total request limits
• Rate limits (global + per-route); 429 + Retry-After; /health exempt
• Configurable max_request_size (100 MiB default)
• CI on Python 3.10–3.13 + regression tests for uploads & cleanup

v0.1.1 2026-10-15

Independence & Power

• A focused document-processing package with optional integrations
• Improved security (magic-byte, path sanitization, size limits)
• Optional OCR with Tesseract + OpenCV pre-processing
• Smarter image compression & enhanced DOCX/HTML/Markdown → PDF
• ReportLab-based DOCX to PDF conversion
• Professional CLI: convert · extract · info · ocr · compress
• Interactive dashboard with feature summary & /health
• DOCX tables with borders, repeating headers, readable TOC

v0.1.0

First solid public release

• Core Document abstraction (to_pdf, extract_text, compress, merge…)
• App class for building document APIs
• Developer dashboard with “Try it” explorer
• CLI: edocapi run
• Support for PDF, DOCX, HTML, Markdown, images, TXT
• Optional WeasyPrint & pdf2image extras

v0.0.2

Early foundation

• First public packaging on PyPI
• Basic Document + App for document APIs
• convert / extract / compress / merge endpoints
• Supported formats table established
• CLI and development workflow

Supported formats (v0.2.0)

What each operation can do today.

Format	to_pdf	extract_text	OCR	compress	merge	to_images
PDF	✓	✓	✓*	✓	✓	✓*
DOCX	✓	✓	–	–	–	–
HTML	✓	✓	–	–	–	–
Markdown	✓	✓	–	–	–	–
TXT	✓	✓	–	–	–	–
JPEG / PNG / WebP	✓	✓*	✓*	✓	–	–

OCR requires optional OCR engines: Tesseract with edocapi[ml] or PaddleOCR with edocapi[structured-ocr]. Tesseract OCR for scanned PDF pages may also need edocapi[pdf-images] and Poppler. PDF to_images() requires edocapi[pdf-images] and Poppler.

Quick Start

Library or API server — both are one install away.

1

Install

$ pip install edocapi

Optional: edocapi[html] · edocapi[ml] · edocapi[server] · edocapi[all]

2

Use the library

from edocapi import Document

doc = Document("report.docx")
pdf = doc.to_pdf()
text = doc.extract_text()

3

Or run an API server

from edocapi import App, Document

app = App()

@app.post("/convert")
def convert(file):
    return Document(file).to_pdf()

            $ pip install edocapi[server]

            $ uvicorn main:app --reload

Open http://127.0.0.1:8000 for the interactive developer dashboard.

CLI

Command line

edocapi --version
edocapi convert report.docx -o report.pdf
edocapi extract report.pdf
edocapi info image.png
edocapi ocr scan.png --lang eng
edocapi compress large.pdf --target 500KB

Start processing documents today

One package. Clean API. Real security. Built by a Nigerian developer who cares about simplicity.

pip install edocapi Star on GitHub ⭐

Document processing made simple