Docling vs Tesseract
Both are alternatives to AWS Textract. Here's how they stack up — verified facts, no spin.
Also searched as Tesseract vs Docling — same comparison, one verdict.
Docling and Tesseract are closely matched on ownership (94 vs 95) — this one comes down to pricing and to which trade-offs below you can live with.
Docling
TOP PICKIBM's document converter. Layout-aware PDF to clean Markdown, MIT.
Docling parses PDFs, Office documents, images and HTML into a structured representation that preserves reading order, tables, figures and headings, then exports to Markdown or JSON. It uses purpose-trained layout and table models rather than heuristics, which is why it holds up on multi-column academic papers and financial statements where simpler extractors interleave columns into nonsense. It integrates directly with LlamaIndex and Haystack, is MIT licensed, and runs entirely locally including on CPU.
Tesseract
Thirty years old, Apache-2.0, and it runs absolutely everywhere.
Tesseract is the OCR engine most of the world's text extraction has quietly gone through, originally from HP, developed by Google for a decade, and Apache-2.0 throughout. It recognises over a hundred languages, has bindings for every language you might be writing in, and is packaged in every Linux distribution. Modern neural extractors beat it on complex layouts, but on clean scanned text it is fast, dependable and effectively free of dependencies — often the right tool precisely because it is boring.
Side by side
10 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Docling | Tesseract | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 94 | 95 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | MIT | Apache-2.0 |
| Pricing | Free, MIT. Runs on your own hardware, CPU or GPU. | Free, Apache-2.0. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | 8 GB — the layout models are the memory cost | — |
| Realistic running costWhat the box costs each month if you run it yourself. | $0 on your own hardware. A 100,000-page corpus is a weekend of compute against a four-figure Textract invoice. | — |
| Setup timeHonest first-install estimate, not the marketing quickstart. | 1 hour | — |
| Ongoing maintenanceThe part nobody budgets for. | Low. | — |
Docling is Macrostack's recommended AWS Textract alternative, so it's our pick here.
Weighing both against staying on AWS Textract? Is AWS Textract free? What it actually costs →
Docling
Strengths
- +Layout-aware — preserves reading order, tables and structure
- +Outputs clean Markdown/JSON that drops into a RAG pipeline
- +Direct integrations with LlamaIndex and Haystack
- +MIT, fully local, no per-page cost
Trade-offs
- −Slower per page than cloud OCR on very large batches
- −Handwriting support is weak compared with Textract
- −No specialised invoice or receipt models
Tesseract
Strengths
- +Over a hundred languages, bindings for everything
- +Extremely mature and stable — decades of production use
- +Packaged everywhere; trivial to install and deploy
- +Apache-2.0 with no dependency weight
Trade-offs
- −Weak on complex layouts, multi-column pages and tables
- −Needs image pre-processing for good results on poor scans
- −No document understanding — it gives you text, not structure
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Docling
if layout-aware — preserves reading order, tables and structure.
Choose Tesseract
if a lower exit cost matters more to you than any single feature, and over a hundred languages, bindings for everything.
Neither, yet
if both carry a real cost you should weigh first — slower per page than cloud OCR on very large batches, and weak on complex layouts, multi-column pages and tables. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
What it takes to run these yourself
Real requirements and honest running costs, not the vendor quickstart.
Docling vs Tesseract — common questions
Is Docling a better fit than Tesseract for document ai & ocr?
It depends on what you are optimising for, and the honest split is this: Tesseract scores 95 to Docling's 94 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Docling earns its place on a different axis — layout-aware — preserves reading order, tables and structure. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Docling keeps its data local or in open formats, so leaving is an export rather than a negotiation. Tesseract is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host Docling or Tesseract?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are Docling and Tesseract both alternatives to AWS Textract?
Yes — both appear in our AWS Textract comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off AWS Textract and now choosing between the two replacements, which is a narrower and much easier question.
Related alternative guides
Facts verified 2026-08-11. Licenses and pricing change — spotted something out of date? That's a correction we want.