Mac local AI can help organize recognized report text after setup. Choose it for its processing route while keeping the same careful source review you would use with any model.
Local processing changes where analysis runs, not the need to review its accuracy.
Start with the source
Verified Lifetime access and a supported installed Ollama model are required for Mac local AI. Native Apple Vision OCR can read image text without an API key or an Ollama download; text models then process the recognized text.
Make the review useful
Keep Ollama running and choose Mac local AI explicitly. The integration uses the loopback service, not an arbitrary remote endpoint, and does not silently fall back to cloud processing. A model must already be downloaded before offline processing is available.
Keep the next step clear
Compare source-line highlights, patient labels, names and dates against the original report. Local processing does not make a model clinically authoritative. Save only factual reviewed wording, and retain the complete original when a preview or OCR text is insufficient.
One step at a time.
- 01
Verify Lifetime and the supported local-model setup.
- 02
Read the source through the native OCR or supported input path.
- 03
Choose Mac local AI with Ollama running.
- 04
Review the result and save only source-supported information.
A little reference.
Keep the context and your next action together.
| Check | Example | Your next step |
|---|---|---|
| Native OCR | Recognizes image text | Does not require Ollama |
| Local model | Processes recognized text | Requires setup and downloaded model |
| Medical meaning | Interpretation of findings | Not established by local AI |
Can the mobile app run this same bundled Ollama setup?
No mobile Ollama runtime is bundled; iPhone, iPad and Android use the documented on-device reading or explicit online AI paths.
These guides explain product workflows. Review extracted names, dates and amounts. Features depend on your device, permissions and optional service setup.
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