Pixels to structure
Frontier OCR reads scanned pages, photos, and dense layouts — then the pipeline rebuilds headings, paragraphs, lists, and common tables as real Markdown structure.
OCR Pipeline
Scanned pages.
Readable Markdown.
Frontier OCR wrapped in a reviewable, bounded pipeline.
Delivery ready
Your Markdown is ready
Verified output links appear here after conversion.
Optional: download audit files for verification or troubleshooting.
Delivery ready
Your link, in Markdown
Conversion details & limits
OvisOCR2-class OCR, inside a complete Markdown pipeline.
Searching for OvisOCR2-level document OCR? Markovo applies frontier OCR and vision-language models inside a bounded pipeline that returns clean Markdown — with source maps, quality evidence, and the original kept for side-by-side review.
OCR and formula enhancement run as signed-in routes with the same estimate-first Credit contract as every other conversion.
01 / Beyond raw OCR
Model-class OCR, pipeline-grade output.
Running a strong OCR or vision-language model is only the first step. The value is in what surrounds it: layout-aware reading order, table reconstruction, provenance, and a result you can verify.
Source maps and evidence
Every result can carry source_map.json, a quality report, and warnings — so a reviewer or an agent can trace a paragraph back to the page it came from.
Compare against the original
The Markdown Reader renders the source PDF next to the Markdown output for line-by-line verification when the source is retained.
02 / Bounded and honest
OCR that admits its limits.
Weak scans, handwriting, dense equations, and unusual layouts still produce warnings rather than silent guesses — the report tells you which pages need a human look.
Estimate before spend
Every job starts with a maximum Credit estimate. You approve the ceiling; the job cannot exceed it, and failures or cancellations charge zero.
Warnings, not silent errors
Low-confidence pages are flagged in the quality report instead of being smoothed over, so downstream readers know where to double-check.
Retention you control
Results live in your account history with clear expiry. Deleting a conversion removes the stored files while keeping an auditable record that the work ran.
03 / Connect in one step
One prompt connects your agent.
The copy strip above hands your AI agent a playbook at markovo.net/install.md — it picks remote MCP, local MCP, CLI, or API for your setup, guides sign-in and API-key placement, and verifies the connection before you convert anything.
Convert in the browser
Drop a scan or document above, review the rendered Markdown in the reader, and export to Word — no account needed for the preview.
Give an agent the tool
Remote MCP connects over OAuth; local stdio MCP reaches local files inside a directory boundary you choose.
Build it into a product
POST /v1/convert with a mandatory max_credits ceiling; poll the job; download the bundle — the same contract the web uses.
OvisOCR2 pipeline questions.
What the OCR route does and where its limits sit.
What is OvisOCR2?
OvisOCR2 refers to a class of vision-language OCR models aimed at reading document pages — text, tables, and formulas — from pixels. Markovo applies frontier OCR models of this class inside a managed pipeline rather than asking you to operate the model yourself.
How is this different from running an OCR model directly?
A raw OCR model returns text. Markovo's pipeline adds page-aware reading order, table reconstruction, source maps, quality scores, warnings, and a reviewable Markdown bundle — so output can be checked against the original instead of trusted blindly.
Which documents benefit most from OCR conversion?
Scanned PDFs, photographed pages, screenshots of documents, and image-heavy files. Digital PDFs with selectable text already convert well on the standard route — OCR matters most where no text layer exists.
Can I use OCR conversion through an API or AI agent?
Yes. The same capability is reachable through the web converter, REST API, CLI, and MCP — every call is estimate-first with a mandatory Credit ceiling, and failed jobs charge zero.
What happens when OCR is uncertain?
Low-confidence pages are flagged in the quality report with warnings. The Markdown reader lets you compare output against the retained original so uncertain regions get a human check.