DepressionCenter / DepressionCenter/extractium
DSpace: optical character recognition for image-only deposits
- 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