A webapp for the transcription of scanned pages
Instructions for nashi.html
- Put nashi.html in a folder with (or some folder above) your PageXML files (containing line segmentation data) and the page images. Serve the folder in a webserver of your choice or simply use the file:// protocol (only supported in Firefox at the moment).
- In the browser, open the interface as .../path/to/nashi.html?pagexml=Test.xml&direction=rtl where Test.xml (or subfolder/Test.xml) is one of the PageXML files and rtl (or ltr) indicates the main direction of your text.
- Install the "Andron Scriptor Web" font to use the additional range of characters.
- Lines without existing text are marked red, lines containing OCR data blue and lines already transcribed are coloured green.
Keyboard shortcuts in the text input area
- Tab/Shift+Tab switches to the next/previous input.
- Shift+Enter saves the edits for the current line.
- Shift+Insert shows an additional range of characters to select as an alternative to the character next to the cursor. Input one of them using the corresponding number while holding Insert.
- Shift+ArrowDown opens a new comment field (Shift+ArrowUp switches back to the transcription line).
Global keyboard shortcuts
- Ctrl+Space Zooms in to line width
- Shift+PageUp/PageDown loads the next/previous page if the filenames of your PageXML files contain the number.
- Ctrl+Shift+ArrowLeft/ArrowRight changes orientation and input direction to ltr/rtl.
- Ctrl+S downloads the PageXML file.
- Ctrl+E enters or exits polygon edit mode.
- Click on line area to activate point handles. Points can be moved around using, new points can be created by drawing the borders between existing points.
- If points or lines are active, they can be deleted using the "Delete"-key.
- Hold Shift-key and draw to select multiple points
- New text lines can be created by clicking inside an existing text region and drawing a rectangle. New lines are always added at the end of the region.
Instructions for the server
- Install redis. The app uses celery as a task queue for line segmentation jobs (and probably OCR jobs in the future).
- Install LAREX for semi-automatic layout analysis.
- Install the server from this repository or from pypi:
pip install nashi
- Create a config.py file. For more options see the file default_settings.py. If you want the app to send emails to users, change the mail settings there. Here is just a minimal example:
BOOKS_DIR = "/home/username/books/" LAREX_DIR = "/home/username/larex_books/"
- Set an environment variable containing your database url. If you don't, nashi will create a sqlite database called "test.db" in your working directory.
- Create the database tables (and users, if needed) from a python prompt. Login is disabled in the default config file.
from nashi import user_datastore from nashi.database import db_session, init_db init_db() user_datastore.create_user(email="email@example.com", password="secret") db_session.commit()
- Run the celery worker:
export NASHI_SETTINGS=/home/user/path/to/config.py celery -A nashi.celery worker --loglevel=info
- Run the app, don't forget to export your DATABASE_URl again if you're using a new terminal:
export FLASK_APP=nashi export NASHI_SETTINGS=/home/user/path/to/config.py flask run
- Open localhost:5000, log in, update your books list via "Edit, Refresh".
- Sorting of lines
- Reading order
- Creation and correction of regions
- API for external OCR service
- Advanced text editing capabilities
- Help, examples, and documentation
- Artificial general intelligence that writes the code for me
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