📚DH Weekly Topics — 2026年6月7日週
DH Weekly Topics — 2026年6月7日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📚DH Weekly Topics — 2026年5月31日週
DH Weekly Topics — 2026年5月31日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📚DH Weekly Topics — 2026年5月24日週
DH Weekly Topics — 2026年5月24日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📜Porting Kuzushiji Character Detection and Classical-Japanese OCR to JS/Next.js Without Python — ONNX Quantization and Library Extraction
A record of porting kuzushiji/historical-document character detection (YOLOv11) and NDL's koten-OCR-Lite (RTMDet + PARSeq) to JS/Next.js with onnxruntime-node — no Python. Covers ONNX export, SAHI, line detection, an int8 quantization accuracy comparison, why it is hard to run on Vercel, and extracting the core into a shared library.
kuzushijiocronnxonnxruntime
📚DH Weekly Topics — 2026年5月17日週
DH Weekly Topics — 2026年5月17日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📚DH Weekly Topics — 2026年5月10日週
DH Weekly Topics — 2026年5月10日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📜Building a macOS App That Turns a Folder of Page Images Into a Single TEI/XML — From Apple Vision OCR to Developer ID Distribution
I built TEI Scanner, a macOS desktop app that runs Apple's Vision OCR over a folder of scanned page images and emits a single TEI/XML document. This post records the SwiftUI implementation, project management via xcodegen, notarization driven by an App Store Connect API key, and .dmg distribution through GitHub Releases.
macosswiftswiftuivision
Mirador 4.0.0 hides supplementing annotations from the Annotations panel — a `filteredMotivations` gotcha
I delivered IIIF Presentation 3 OCR text annotations with `motivation: "supplementing"`, and they showed up in Annona and other viewers but not in Mirador 4.0.0's Annotations side panel. Reverse-engineering the deployed Mirador bundle revealed that the released default for `config.annotations.filteredMotivations` is `['oa:commenting', 'oa:tagging', 'sc:painting', 'commenting', 'tagging']` — `supplementing` isn't in the allowlist. This post walks through how I found that, the `['commenting', 'supplementing']` array workaround, and the relevant spec / Cookbook references.
iiifmiradorannotationpresentation-api
Comparing NDL Koten OCR-Lite and Cloud Vision API on a Jiaxing Tripitaka 'Mahāprajñāpāramitā Sūtra' — Observations across 105 Images
We applied two OCR engines — Japan's National Diet Library NDL Koten OCR-Lite and Cloud Vision API DOCUMENT_TEXT_DETECTION — to 105 IIIF images of fascicles 571–575 of the Mahāprajñāpāramitā Sūtra in the Jiaxing Tripitaka held by Yūrenja (formerly the Hōonzō of Zōjōji), and compared the patterns of error in their outputs. NDL produced phantom kana lines on 12 pages; Vision picked up color charts, rulers, and shelf labels as if they were body text on all 105.
ocrndl-koten-ocrgoogle-vision-apiiiif
📚DH Weekly Topics — 2026年4月19日週
DH Weekly Topics — 2026年4月19日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📚DH Weekly Topics — 2026年4月12日週
DH Weekly Topics — 2026年4月12日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📚DH Weekly Topics — 2026年4月5日週
DH Weekly Topics — 2026年4月5日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
📖Calling NDLOCR-Lite as a Python Library Instead of CLI
How to import and call NDLOCR-Lite, a Japanese OCR engine published by the National Diet Library, directly from a Python script instead of using the CLI.
ndlocrocrpythonjapanese-ocr
KotenOCR Android Development Log — Migrating from Flutter to Kotlin
Development log of building the KotenOCR Android app with Flutter, then migrating to Kotlin Native. Performance benchmarks, API fix for 18x speedup, and framework selection with AI-assisted development.
flutterkotlinonnxruntimeocr
📚DH Weekly Topics — 2026年3月28日週
DH Weekly Topics — 2026年3月28日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
🔍KotenOCR: Fixing Duplicate Detections in Modern-Script OCR Mode (Adding NMS and Class Filtering)
Fixing duplicate detection results in KotenOCR's modern-script OCR mode (NDLOCR-Lite) by adding NMS and filtering to line_* classes, achieving detection accuracy on par with the reference ndlocr-lite implementation.
iosocrndlonnx
📜KotenOCR v1.3.0: Dual OCR Modes for Classical and Modern Japanese Text
KotenOCR v1.3.0 adds NDLOCR-Lite support for modern printed text OCR alongside the existing classical text (kuzushiji) mode, with one-tap mode switching and parallelized recognition for up to 6.7x speedup.
iosocrkuzushijindl
📚DH Weekly Topics — 2026年3月21日週
DH Weekly Topics — 2026年3月21日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
⚡Parallelizing OCR Recognition on iOS with Swift Concurrency for up to 6.7x Speedup
Using withThrowingTaskGroup to parallelize OCR recognition in an iOS app, achieving 1.4x to 6.7x speedup depending on the number of detected text regions.
iosswiftconcurrencyocr
📜KotenOCR: An Offline iOS App for Recognizing Classical Japanese Cursive Script
KotenOCR is a free iOS app that runs the NDL Koten OCR-Lite model entirely on-device, enabling offline recognition of kuzushiji (classical Japanese cursive script) from photos.
iosocrkuzushijiswift
✍️Transkribus: AI-Powered Handwritten Text Recognition for Historical Documents
An introduction to Transkribus, an AI-based handwritten text recognition platform supporting 100+ languages, and its applications in Digital Humanities research for transcribing historical documents.
transkribusocrhtrhandwriting
📚DH Weekly Topics — 2026年2月22日週
DH Weekly Topics — 2026年2月22日週
dh-weeklydigitalhumanitiesデジタルアーカイブocr
🐷BDRC Tibetan OCR: Introduction and Implementation Examples of a Tibetan OCR Tool
BDRC Tibetan OCR: Introduction and Implementation Examples of a Tibetan OCR Tool
ocr
📝Azure OpenAI GPT-4 vs Document Intelligence: Comparative Evaluation of Japanese Vertical Text OCR
Azure OpenAI GPT-4 vs Document Intelligence: Comparative Evaluation of Japanese Vertical Text OCR
azureocrllm
🐈LLM-Based Manuscript Paper OCR Performance Comparison: Verification of Vertical Japanese Recognition Accuracy
LLM-Based Manuscript Paper OCR Performance Comparison: Verification of Vertical Japanese Recognition Accuracy
ocrllm
😊Challenges and Solutions for Preserving Order in PDF Transparent Text Extraction
Challenges and solutions for preserving order in PDF transparent text extraction
pdfocr
😸TEI ODD File Customization: A Case Study with NDL Classical Book OCR
TEI ODD File Customization: A Case Study with NDL Classical Book OCR
ocrrngteiroma
👌Development of the NDL Kotenseki OCR-Lite Next.js Version
Development of the NDL Kotenseki OCR-lite Next.js version
nextjsrngocrroma
🌟A Scalable OCR Processing System Using NDL Classical Japanese OCR Lite on Azure Container Apps
A Scalable OCR Processing System Using NDL Classical Japanese OCR Lite on Azure Container Apps
dockerazureocr
🐈Trying DToC: Dynamic Table of Contexts
Trying DToC: Dynamic Table of Contexts
ocrxmlteigemini
🙄Creating TEI/XML Files from IIIF Manifest Files Using NDL Kotenseki OCR-Lite
Creating TEI/XML files from IIIF manifest files using NDL Kotenseki OCR-Lite
ocrhuggingfaceiiiftei
😸Part 2: Creating Annotated IIIF Manifest Files and TEI/XML Files Using NDL Classical Book OCR-Lite
Part 2: Creating Annotated IIIF Manifest Files and TEI/XML Files Using NDL Classical Book OCR-Lite
nextjsocrmonorepoiiif
🎉A Program to Create TEI/XML Files with OCR Results from IIIF Manifest Files
A program to create TEI/XML files with OCR results from IIIF manifest files
colabocriiiftei
📑Created a Similar Text Search App for the Koui Genji Monogatari
Created a Similar Text Search App for the Koui Genji Monogatari
pythonocrhuggingfacetei
🦔Building an NDLOCR Gradio App Using Azure Virtual Machines
Building an NDLOCR Gradio App Using Azure Virtual Machines
azuregpuocrndl
🎉Created a Gradio App to Try ndlocr_cli (NDLOCR ver.2.1) Application
Created a Gradio app to try ndlocr_cli (NDLOCR ver.2.1) application
azureocrndlgradio
🔥Building a Gradio App Using NDL Kotenseki OCR-Lite
Building a Gradio app using NDL Kotenseki OCR-Lite
dockerocrgradio
🔥Using NDL Classical Book OCR-Lite (ndlkotenocr-lite) on Mac OS
Using NDL Classical Book OCR-Lite (ndlkotenocr-lite) on Mac OS
ocrndl
🙆Creating a Transparent Text PDF from a Single Page Using Google Cloud Vision API
Creating a transparent text PDF from a single page using Google Cloud Vision API
pythonpdfocr
📖Mirador Repository with Vertical Text Support for the Text Overlay Plugin
Mirador Repository with Vertical Text Support for the Text Overlay Plugin
ocriiifmirador
😺Applying Google Cloud Vision to Image Files to Create IIIF Manifests and TEI/XML Files
Applying Google Cloud Vision to Image Files to Create IIIF Manifests and TEI/XML Files
pythonocriiiftei
📘Handling Shared Memory Shortage When Running ndlocr_cli and Other Issues
Handling Shared Memory Shortage When Running ndlocr_cli and Other Issues
ocrndlocr
🔖Disk Space After Installing ndlocr_cli with Docker
Disk space after installing ndlocr_cli with Docker
ocrmdx
📝Created Notebooks Using NDLOCR and NDL Classical Japanese OCR ver.2
Created Notebooks Using NDLOCR and NDL Classical Japanese OCR ver.2
colabocriiifndl
💭Running NDL Classical Japanese OCR on mdx
Running NDL Classical Japanese OCR on mdx
ocrndlmdxjp
📝Mirador 3 Plugin Development: Adding Vertical Text Support to the Text Overlay Plugin
Mirador 3 plugin development: adding vertical text support to the Text Overlay plugin
ocrxmliiifmirador
📌About ALTO (Analyzed Layout and Text Object) XML
About ALTO (Analyzed Layout and Text Object) XML
ocrxmlalto
💭Bug Fixes and Feature Additions to the NDL Classical Book OCR Tutorial Using Google Colab
Bug fixes and feature additions to the NDL classical book OCR tutorial using Google Colab
pythoncolabocriiif
🐡Web Application for NDL Classical Book OCR Using Hugging Face Space
Web Application for NDL Classical Book OCR Using Hugging Face Space
awsocrhuggingface
💡Running NDL Classical Japanese OCR on Amazon EC2 CPU Environment
Running NDL Classical Japanese OCR on Amazon EC2 CPU Environment
awsec2ocr
🙆♀️Running NDL Classical Text OCR Using Amazon SageMaker Studio
Running NDL Classical Text OCR Using Amazon SageMaker Studio
awsocr
👋NDL Classical Text OCR Using Google Colab
NDL classical text OCR using Google Colab
pythonmachinelearningocrndlocr
💭Building a Layout Extraction Model Using the NDL-DocL Dataset and YOLOv5
Building a layout extraction model using the NDL-DocL dataset and YOLOv5
colabyoloocrdetection
🌟NDL OCR Now Supports Ruby (Furigana) Text Extraction
NDL OCR Now Supports Ruby (Furigana) Text Extraction
colabocrndl
🐡Created a Video on How to Use the NDLOCR App with Google Colab
Created a Video on How to Use the NDLOCR App with Google Colab
ocrcolab
🐥Running gcv2hocr on Google Colab: Creating Searchable PDFs with Transparent Text Using Google Vision API
Running gcv2hocr on Google Colab: Creating searchable PDFs with transparent text using Google Vision API
colabocrgcv
🐥Created Version 2 of the NDLOCR App Using Google Colab
Created Version 2 of the NDLOCR App Using Google Colab
colabocr
📚Execution Time for NDLOCR Using Google Colab
Execution time for NDLOCR using Google Colab
pythonmachinelearningcolabocr
👌Running NDLOCR App with Google Colab (Image Input and Result Saving via Google Drive)
Running NDLOCR App with Google Colab (Image Input and Result Saving via Google Drive)
machinelearningcolabocr
👋Running the NDLOCR Application Using Google Cloud Platform Compute Engine
Running the NDLOCR Application Using Google Cloud Platform Compute Engine
dockermachinelearningocr
📌Added TEI/XML Download Functionality to the "NDL OCR x IIIF" App
Added TEI/XML Download Functionality to the "NDL OCR x IIIF" App
ocriiiftei
💬[Development Guide] I Created an App to View OCR Results Published by the National Diet Library's Next-Generation Digital Library in an IIIF Viewer
[Development guide] I created an app to view OCR results published by the National Diet Library's Next-Generation Digital Library in an IIIF viewer
awsocriiif
🐥An App for Viewing OCR Results from the NDL "Next-Generation Digital Library" in an IIIF Viewer
An App for Viewing OCR Results from the NDL "Next-Generation Digital Library" in an IIIF Viewer
ocriiif