LocalOCR Studio v0.3.0 Beta 2

LocalOCR Studio v0.3.0-beta.2

This prerelease adds a complete branded LocalOCR application icon to the Mac app and Finder while preserving the desktop, batch, CLI, MCP, and privacy behavior from Beta 1.

Highlights

• Branded LocalOCR icon embedded in the signed app bundle and displayed by macOS.
• Open or drop one PDF or supported image for the default single-document workflow.
• Choose New Batch to review and process multiple supported files sequentially into a chosen output folder.
• PDFs produce new searchable PDFs; images produce .txt output. Original documents remain unchanged.
• Existing outputs are never overwritten; LocalOCR creates a numbered filename when needed.
• The bundled localocr CLI and local-stdio MCP server remain available for advanced users.

Privacy boundary

OCR remains on the Mac. LocalOCR does not upload documents, recognized text, filenames, paths, thumbnails, hashes, cache entries, or outputs. Local model selection—Apple Foundation Models, Ollama, and LM Studio—is next-version work and is not included in this download.

Install

Download LocalOCR-Studio-0.3.0-3.zip and LocalOCR-Studio-0.3.0-3.sha256 into the same directory, then run:

shasum -a 256 -c "LocalOCR-Studio-0.3.0-3.sha256"

Require an OK result before expanding the ZIP. Move LocalOCR Studio.app to /Applications and open it normally. Do not bypass Gatekeeper or remove quarantine.

Compatibility and verification

• Apple silicon and macOS 14.0 or later.
• Built with stable Xcode 26.6 (17F113).
• Developer ID signed with Hardened Runtime, Apple notarized, stapled, and Gatekeeper accepted.
• Verified on the build Mac and Scott’s Mac mini running macOS 27.0 beta (26A5421a), and on the owner MacBook Pro running macOS 26.6.2 (25G83). Checksum, signatures, staple, Gatekeeper, CLI, MCP, installation, and launch passed on all three Macs. Compatibility with future Apple beta builds is not guaranteed.
• Verification: 279 Swift tests and 278 release-contract tests passed. The branded-icon UI change passed the 15-test packaged macOS UI suite before merge.

Current limitations

• No Intel, Windows, or Linux support.
• No batch history, language/settings wizard, guided MCP setup, or user-selectable local intelligence provider in this build.
• OCR may need review for difficult source material; retain original documents.

Advanced MCP

See the beta tester guide, MCP schema, and project README for setup guidance.

Feedback

File feedback through the repository issue chooser. Do not attach confidential documents or recognized text.

Release provenance

• Prerelease: v0.3.0-beta.2 (version 0.3.0, build 3)
• Source commit: 54828938f4b8bf23a4ae0e7a63fa9552548e7f78
• ZIP SHA-256: a60fb34f5f9b9c19413bb2222d2846f472398c73ad4a0a7a1ac19eee09b55691
• Assets: LocalOCR-Studio-0.3.0-3.zip and LocalOCR-Studio-0.3.0-3.sha256
• Signing: Developer ID Application, Team DZ8B5454ZN, Hardened Runtime.
• Apple notarization: submission 18581332-be97-4713-bf1d-3c2764afdfa5, status Accepted, ticket stapled.

LocalOCR Studio v0.3.0 Beta 1

LocalOCR Studio v0.3.0-beta.1

This prerelease adds the new LocalOCR visual system and an opt-in desktop batch workflow while preserving the default single-document experience. LocalOCR remains 100% local: documents, recognized text, filenames, paths, thumbnails, hashes, cache entries, and outputs are not uploaded.

Highlights

• Refreshed bone, olive, and ink visual system shared with LocalOCR for iPhone and iPad.
• Open or drop one PDF or supported image for the familiar single-document workflow.
• Choose New Batch to add files or folders, select an output folder, and review supported and skipped items before processing starts.
• Process batch items sequentially with cancellation, failed-item retry, output-folder reveal, and content-free diagnostics.
• PDFs produce new searchable PDFs; images produce .txt output. Source documents remain unchanged.
• Existing output files are never overwritten; LocalOCR chooses a numbered filename when needed.

Install

Download LocalOCR-Studio-0.3.0-2.zip and LocalOCR-Studio-0.3.0-2.sha256 into the same directory, then run:

shasum -a 256 -c "LocalOCR-Studio-0.3.0-2.sha256"

Require an OK result before expanding the ZIP. Move LocalOCR Studio.app to /Applications and open it normally. Do not bypass Gatekeeper or remove quarantine.

Compatibility and verification

• Apple silicon and macOS 14.0 or later.
• Developer ID signed with Hardened Runtime, Apple notarized, stapled, and Gatekeeper accepted.
• The packaged macOS UI suite passed 15 of 15 tests on the build Mac.
• Compatibility has not yet been accepted on a second physical Mac for this beta; include the exact Mac model and macOS build when reporting issues.

Current limitations

• No Intel, Windows, or Linux support.
• Batch processing is an explicit review-before-start workflow; the default remains one document at a time.
• No batch history, language/settings wizard, or guided MCP setup.
• OCR may need review for difficult source material; retain original documents.

Advanced MCP

The bundle includes the local localocr CLI and local-stdio MCP server. See the beta tester guide and MCP schema.

Feedback

File feedback through the repository issue chooser. Do not attach confidential documents or recognized text.

Release provenance

• Prerelease: v0.3.0-beta.1 (version 0.3.0, build 2)
• Source commit: c2ff3259e190ef5adf037c091a04b34830014131
• ZIP SHA-256: 620cb698b9e98d3547edca4ab3891dc8a52adaa3261d528de9f91b516838b107
• Assets: LocalOCR-Studio-0.3.0-2.zip and LocalOCR-Studio-0.3.0-2.sha256
• Signing: Developer ID signed with Hardened Runtime; Apple notarization submission 1f4ea62b-8c92-4835-ae4d-e1c381a58356 accepted and stapled.

LocalOCR Studio v0.2.0 Beta 1

LocalOCR Studio v0.2.0-beta.1

This published private prerelease is a desktop-first beta for authorized repository users. Start with the Beta 1 Tester Guide on main for installation, the five-minute desktop test, and feedback.

Highlights

• Process one PDF or supported image at a time through Open or drag and drop.
• Recognize text locally with Apple Vision and PDFKit while preserving usable existing PDF text.
• Copy text, save text, or create a new searchable PDF without changing the source document.
• Select Process Another Document to return to the drop/open screen without relaunching.
• LocalOCR does not upload documents, recognized text, filenames, paths, thumbnails, hashes, cache entries, or outputs.

Install

Download LocalOCR-Studio-0.2.0-1.zip and LocalOCR-Studio-0.2.0-1.sha256 into the same directory, then run:

shasum -a 256 -c "LocalOCR-Studio-0.2.0-1.sha256"

Require an OK result before expanding the ZIP. Move LocalOCR Studio.app to /Applications and open it normally; do not bypass Gatekeeper or remove quarantine.

Compatibility

Built with stable Xcode 26.6 (17F113), Swift 6, and arm64, with deployment target macOS 14.0. This Developer ID-signed Hardened Runtime build is Apple notarized, stapled, and Gatekeeper accepted. Complete downloaded-package and GUI acceptance passed on Apple M5 and Apple M4 Macs tested on macOS 27 beta build 26A5388g. Later Apple beta builds may introduce regressions; report the exact macOS version and build number.

Known limitations

• Apple silicon and macOS 14 or later only; no Intel, Windows, or Linux support.
• Desktop processing is one document at a time.
• No history, batch queue, language/settings wizard, or guided MCP setup.
• MCP setup is manual and uses local stdio.
• Beta output behavior may change; retain original documents.

Advanced MCP

The bundled local stdio MCP server adds advanced tools, including batch PDF OCR. See the advanced setup in the beta guide and the complete MCP schema.

Feedback

File feedback through the private repository issue chooser. Do not attach confidential documents or recognized text.

Release provenance

• Published private prerelease: v0.2.0-beta.1 (version 0.2.0, build 1)
• Source commit: 2cb03cc9684ed9bb4b449a0f7d79f0588fb7ae38
• ZIP SHA-256: 3a6a1c754ee369ab9a8ffe01bcc96e7f4927ac44eb1f82b410f538aee901c0d5
• Assets: LocalOCR-Studio-0.2.0-1.zip and LocalOCR-Studio-0.2.0-1.sha256
• Signing: Developer ID signed with Hardened Runtime; Apple notarized and stapled.