DepressionCenter / DepressionCenter/extractium

DSpace: optical character recognition for image-only deposits

Open
#35 0 comments 0 reactions 0 assignees View on GitHub
enhancement help wanted
Dominant language
Python
Stars
1
Forks
1
Avg merge
1h 47m
Merged PRs (30d)
46

Description

Deferred in the implementation plan. A deposit whose files are scanned images has no extracted-text bundle, so it is indexed from its description alone and the build says so. OCR would change that, but it means a large dependency and a malformed-input surface the project has avoided everywhere else. If it is ever built, run it on the operator's machine only, never on a scheduled runner, and keep it behind an extra.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reviewing the implementation plan and the current build behavior for image-only deposits, which are indexed from their description alone. Define the OCR approach and its malformed-input handling before implementation. Done means OCR runs only on the operator's machine, never on a scheduled runner, is behind an extra, and makes extracted text available to indexing.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
search
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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