能否在两个项目中复用同一份Google Vision API的OCR JSON文件？

Absolutely—you can absolutely reuse that Google Vision API JSON file for both of your OCR projects, but whether it’s fully effective depends on a few practical factors to align with each project’s needs:

• Verify if the JSON includes all required data for both projects
  Google Vision’s OCR output JSON typically includes two core sections: fullTextAnnotation (the complete extracted text as a single block) and textAnnotations (individual text elements with bounding box coordinates, confidence scores, and language info). If both your projects rely on the same set of data—say one needs just raw text and the other needs text positions for layout analysis—this single file will work perfectly. If one project requires niche data (like handwritten text confidence flags or dense document layout markers) that isn’t present in your existing JSON, you’ll need to run a targeted API call for that specific project.

• Account for project-specific post-processing needs
  Even if the raw OCR data is the same, your two projects might need different transformations of that data. For example, one might need to parse the text into a CSV table, while the other might feed it into a text summarization tool. The good news? You can reuse the same JSON as the source and apply separate post-processing pipelines to it—no need to re-run the OCR API call.

• Leverage reuse for cost and efficiency gains
  A huge perk of reusing the JSON is avoiding redundant Google Vision API requests. This cuts down on costs (since each API call incurs charges) and prevents hitting rate limits, which is especially useful if you’re working with large volumes of documents.

If you’re unsure, do a quick test: plug the JSON into both projects and see if it meets their functional requirements. In most cases where the core OCR needs overlap, reuse is totally feasible and recommended.

内容的提问来源于stack exchange，提问作者Chinmay Hebbal