Two strong open-source options, two very different philosophies. EasyOCR reads raw pixels line by line; Docling parses documents into structured layout, tables, and Markdown. Use the tradeoff matrix, take the five-question workload quiz, and watch how each stage of the ingestion pipeline flows. In production, most teams standardize on one extractor and add one or two LLM verification passes to keep extraction accuracy honest.
Scores are relative strengths for typical scanned-PDF RAG workloads, on a five-dot scale.
| Dimension | EasyOCR | Docling | Edge |
|---|
Answer five questions about your corpus. Scoring weighs structure, tables, output format, hardware, and language needs.
Please answer all five questions before scoring.
The animated diagram shows a page moving through the four ingestion stages. Docling emits structure-aware Markdown before chunking; EasyOCR emits plain text lines, so chunkers rely on heuristics.
A matrix is perfect for evaluation, or when you are singling in on one tool. But what works best in production is usually just one extractor, plus one or two LLM verification passes to confirm extraction accuracy on sampled pages. Fewer moving parts, easier observability, cheaper reprocessing.