How to extract image text offline and keep it in Markdown notes
Use built-in Korean/English OCR, correct the result, and save the image and your explanation in a searchable local note. Disclosure: I make CLIPARY at SelzyStudio. This guide uses our own synthetic sample content. Screenshots show the actual app; some use Korean UI labels. The app also offers an English interface. Save the reason you captured it A screenshot alone may be hard to understand a week…
To extract text from an image and keep it in a Markdown note for offline use, follow these steps:
1. Open the image and initiate built-in OCR by capturing a region or opening an existing image. Choose the Text recognition option, which supports both Korean and English on your PC. No external AI account is needed for this built-in recognition path. Note that the app offers both Korean and English interfaces.
2. Review and correct the recognized text. OCR may contain errors, particularly with small text or intricate layouts. Verify punctuation, code, numbers, and line breaks against the original image before incorporating the result into another document. For error messages, maintain the exact wording and error code rather than summarizing them without verification.
3. Save the capture as a note. Initiate the note action from the image result, provide a title, and explain the relevance of the capture. You can include the OCR result in the saved note within an OCR text section. A comprehensive note should contain details such as "What I was doing," "What happened," and "What to try next." Preserve the original image for future verification of the extracted text.
4. Organize the note for easy retrieval. Utilize folders, tags, and topics to structure your local Markdown vault. Link related notes using [[note links]], and employ vault search to locate specific phrases later. You can open multiple notes side by side for comparison. CLIPARY is compatible with Obsidian vaults; select the desired folder in Settings and refer to the in-app help before restructuring an existing vault.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
