manchu.ai Open OCR

The past has a future.

A living language.
A new chapter.

Centuries of stories, ready to be rediscovered.
Read, recognize, and explore Manchu with AI.

Old words. New possibilities.
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Open double-page Manchu volume with vertical calligraphy and two red imperial seals, from Kangxi’s poems on Bishu Shanzhuang
A past worth reading.
Imperial poetry, 1712
Scroll to turn the page

From image to understanding.

Manchu OCR / Upload. Recognize. Read.

A million ways into the past.

Manchu Archive / Discover a world of records.

History, in motion.

Once written.Every mark holds a possibility.

Newly readable.A bridge from paper to digital.

Ready to rediscover.The next chapter starts with you.

The page
The possibility
Historical scan; digital text is illustrative, not a transcription.

Every character.
A connection.

Bring a manuscript into focus. Upload a Manchu image and take the first step from the written page to digital text.

Open Manchu OCR
Your next discovery could begin with one page.
The reading roomInteractive preview
Manchu type sample
Digital text

A new way
to read the page.

See a sample image-to-text interaction.

Illustrative demo. For actual recognition, open Manchu OCR.

A deeper look.
A wider world.

Explore a million-scale collection of Manchu data. Follow the words. Find a connection. Open a new line of inquiry.

Enter the archive
1M+

Manchu data records.
Countless starting points.

A digital home for a living heritage.
Detail from the Manchu edition of Kangxi’s poems
Detail from a Manchu manuscript at Leiden University Libraries
Imperial seals in the Manchu poetry volume

Start curious.
Go further.

From your first manuscript to your next research project. Find the space to explore.

One membership. OCR + Archive.Proposed plans · Prices in USD
For the first page

Free

A little curiosity goes a long way.

$0/ forever

No payment details needed.

A place to begin

  • 20 OCR pages each month
  • Browse & search the archive
  • Read individual record previews
  • Copy recognized text
  • One personal workspace
For shared discoveries

Institution

Give your whole team a new lens.

$99/ month

$99 billed monthly. Includes 5 seats.

Everything in Researcher, plus

  • 5,000 shared OCR pages / month
  • 5 team seats included
  • Shared research collections
  • Team roles & usage overview
  • Priority research support

Monthly billing selected. Yearly plans include two months free.

A few useful details.

Clear limits, more room to read.

What counts as one OCR page?

One submitted page image counts as one page. A PDF counts by its number of pages. In these proposed plans, failed recognition attempts do not use your allowance.

How does yearly billing work?

Pay for ten months and receive twelve months of access: $190 a year for Researcher or $990 a year for Institution. OCR allowances refresh monthly, even on yearly plans.

What happens when I reach my allowance?

Your work stays available. The proposed plan pauses new OCR jobs until the next monthly reset or an upgrade. There are no automatic overage charges, and unused pages do not roll over.

Can I subscribe here today?

This is a pricing concept. Prices, allowances, and plan features are proposed for review. Plan buttons open a preview; they do not create an account or charge you.

Pricing concept — proposed prices and features, subject to confirmation. No payment is collected in this demo.

Not just preserved.
Present.

A language lives when we engage with it. We’re creating new ways to encounter Manchu — connecting the traces of the past with the questions of today.

Historical images & type credits

Manchu manuscript, 1767. Anonymous request, shelfmark SINOL. VGK 5806.48, Leiden University Libraries. Page 5 of the digitized document, via Wikimedia Commons. Original catalog ↗ · CC BY 4.0 · View full scan ↗. Shown with display cropping and perspective transforms; source pixels are unchanged.

Emperor’s Poems on Bishu Shanzhuang, 1712. Kangxi, with annotations by Nalan Kuixu and others. National Library of China, World Digital Library. Source and reuse statement ↗ · View full scan ↗. The hero uses the user-provided image of this spread, shown in full; archive thumbnails use display crops. These images are external historical references for this homepage concept.

Typography. Newsreader for English headlines; Manrope for interface text; Noto Sans Mongolian for Unicode Manchu. Open-font licenses are included with the site. The small OCR interaction uses preset sample text.

Plan preview

Your next chapter

Researcher

A plan for a deeper inquiry.

$19per month

This is a proposed subscription plan. No account is created and no payment will be collected.

Explore Manchu OCR