Tools for processing scanned PDFs

The problem, in plain words: “I need to split, title, and extract text from thousands of scanned PDFs with varied layouts (including tables) and import the results into a Postgres-backed document management system.”

No tool in the catalog fully fits this yet.

You want a batch pipeline that OCRs thousands of scanned PDFs with varied layouts, splits them, extracts titles and table data, then loads structured results into a Postgres-backed document system.

Updated September 2026.

Partly fits

DocuPipepartial · 70

It’s aimed at API-first extraction from messy PDFs/scans with OCR and table extraction, but it doesn’t specifically describe splitting into sections, title extraction, or Postgres-backed document-management import.

Won’t cover: It focuses on extracting structured data for workflows, but not specifically on splitting and title detection for loading into a Postgres-backed document-management system.

Dedocpartial · 65

It converts PDFs and scanned documents into a unified structured format with tables and OCR, but the data provided doesn’t clearly cover title detection, document splitting, or Postgres ingestion.

Won’t cover: It parses documents into structured output, but it doesn’t explicitly provide title extraction and PDF splitting that plug directly into a Postgres-backed document-management workflow.

DocSlightpartial · 64

It’s designed to turn scanned/image-based documents into structured, usable data using AI-driven OCR and document understanding, but it doesn’t explicitly state document splitting, title extraction, or Postgres-backed import.

Won’t cover: It extracts structured data from scanned documents, but it doesn’t specifically address splitting PDFs into sections or extracting a dedicated title field for Postgres document ingestion.

Doctorpartial · 60

It’s a self-hosted microservice for large-scale OCR and document extraction at scale, which aligns with batch processing, but it doesn’t clearly cover table extraction, title detection, splitting, or a Postgres-backed ingestion target.

Won’t cover: It provides OCR and extraction endpoints for documents at scale, but it doesn’t clearly cover table extraction plus title extraction and splitting aligned to a Postgres document-management import.

Nothing fully fits this yet

A tool is needed that batch-extracts titles and split sections into structured fields while targeting Postgres ingestion.

Questions

Is there a tool that fully solves this?

Not fully, yet. A tool is needed that batch-extracts titles and split sections into structured fields while targeting Postgres ingestion.

What won't these tools cover?

It focuses on extracting structured data for workflows, but not specifically on splitting and title detection for loading into a Postgres-backed document-management system. · It parses documents into structured output, but it doesn’t explicitly provide title extraction and PDF splitting that plug directly into a Postgres-backed document-management workflow. · It extracts structured data from scanned documents, but it doesn’t specifically address splitting PDFs into sections or extracting a dedicated title field for Postgres document ingestion. · It provides OCR and extraction endpoints for documents at scale, but it doesn’t clearly cover table extraction plus title extraction and splitting aligned to a Postgres document-management import.

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