Replay webinar: Using VOCR to access music software on macOS

In this episode of the Sound Without Sight podcast, artist and producer, Andre Louis, demonstrates VOCR – a third-party add-on for macOS that enables VoiceOver to recognise text and other visual elements that would otherwise prove inaccessible. 

Andre shares:

• Where to get VOCR and how to set it up,
• How to use VOCR to access graphical user interfaces, using examples such as Logic Pro’s Quick Sampler and Spectrasonics Omnisphere,
• When VOCR’s AI image recognition can prove helpful in a music production context.

This podcast was recorded live, at a Sound Without Sight webinar in April 2026.

Catch up on the recording

Summary

What is VOCR?

VOCR (VoiceOver OCR) is a free accessibility tool for macOS developed by Chi Kim. It extends the capabilities of Apple’s VoiceOver screen reader by using Optical Character Recognition (OCR) to identify and read text that VoiceOver cannot normally access.

The webinar was presented by Andre Louis, who demonstrated how VOCR helps blind and visually impaired users access software, websites, documents, and graphical interfaces that would otherwise be inaccessible.

Why VOCR was developed

While screen readers on Windows, such as JAWS and NVDA, have included OCR functionality for many years, VoiceOver users on macOS have had fewer options.

VOCR was created to:

• Bridge accessibility gaps on macOS.
• Improve access to software with poor VoiceOver support.
• Help blind musicians and producers use audio software.
• Provide a general-purpose OCR solution for all Mac users.

Although originally developed with music production in mind, VOCR has become useful across many different applications and workflows.

Key features of VOCR

OCR screen reading

VOCR can:

• Scan active windows.
• Recognise text displayed on screen.
• Read inaccessible dialogue boxes and menus.
• Access information hidden from VoiceOver.

This allows users to obtain information that would otherwise be unavailable.

Interface navigation

Beyond reading text, VOCR can:

• Identify buttons and controls.
• Navigate between detected elements.
• Click controls directly.
• Interact with inaccessible software interfaces.

This makes VOCR much more powerful than a simple OCR reader.

System-wide accessibility

VOCR can be used throughout macOS, including:

• Applications
• Documents
• Images
• PDFs
• Websites
• Software plugins

VOCR in music production

A major focus of the webinar was the use of VOCR in music production.

Many music plugins and virtual instruments rely on graphical interfaces that are inaccessible to VoiceOver. VOCR can scan these interfaces and identify:

• Buttons
• Menus
• Preset names
• Parameter labels
• Controls and settings

This enables blind musicians to work independently with software that would otherwise be difficult or impossible to use.

Examples of Use

VOCR can assist with:

• Plugins in Logic Pro (and other DAWs)
• Virtual instruments
• Effects processors
• Preset browsers
• Mixing and production tools

While not every plugin works perfectly, VOCR significantly increases accessibility across many products.

AI integration and image description

One of the most exciting developments discussed was the use of AI alongside VOCR.

Screenshots captured through VOCR can be analysed by AI tools such as:

• ChatGPT
• Google Gemini
• Other image-description systems

AI can provide:

• Descriptions of screen layouts
• Explanations of graphical elements
• Context about visual interfaces
• Additional information beyond simple OCR text extraction

This combination of OCR and AI can help users understand complex software interfaces more effectively.

Limitations of OCR and AI

Although VOCR is powerful, it is not perfect.

OCR limitations

OCR can:

• Read visible text.
• Detect many interface elements.

However, it may struggle to determine:

• Whether a checkbox is checked.
• The state of switches or toggles.
• Graphical indicators without text labels.
• Complex visual relationships.

AI limitations

AI descriptions can help fill some gaps but are not always accurate. In the current version of VOCR, users can also not interact directly with elements that have been identified by AI.

Users should:

• Treat AI-generated descriptions as guidance.
• Verify important information where possible.
• Understand that AI can occasionally make mistakes.

Demonstration highlights

During the live demonstration, Andre showed how users can:

1. Scan the active window using keyboard shortcuts.
2. Review recognised text and controls.
3. Navigate through detected elements.
4. Interact with otherwise inaccessible software.

The demonstration illustrated how VOCR can provide access to interfaces that VoiceOver alone cannot handle.

Customisation options

VOCR offers several configuration features to improve usability.

Target windows

Users can specify a target window for scanning, which is useful when:

• Applications intercept keyboard commands.
• Multiple windows are open.
• VoiceOver navigation becomes unreliable.

Automatic rescanning

VOCR can automatically rescan a window after actions are performed, helping users keep information up to date.

Keyboard shortcuts

Custom hotkeys allow users to quickly access VOCR functions and streamline their workflow.

Benefits beyond music

Although VOCR is popular among musicians, the webinar highlighted many other applications.

Users can employ VOCR to:

• Read inaccessible PDF documents.
• Extract text from images.
• Access information in websites.
• Read subtitles in videos.
• Explore software interfaces.
• Understand screenshots and graphics.

Many users may find themselves relying on VOCR for everyday computing tasks as much as for music production.

Cost and availability

One of VOCR’s biggest advantages is that it is free. You can download VOCR from its GitHub page.

Benefits include:

• No purchase cost.
• Regular development and improvement.
• Compatibility with VoiceOver.
• Access to powerful OCR functionality on macOS.

While some AI services may require subscriptions, free options such as Google Gemini are available, and some AI models can be run locally on modern Macs.

Key Takeaways

• VOCR is a free OCR accessibility tool for macOS.
• It enhances VoiceOver by reading inaccessible text and interfaces.
• It is particularly valuable for music production software.
• Users can navigate and interact with controls that VoiceOver cannot access directly.
• AI integration provides additional image and interface descriptions.
• VOCR works across many applications, documents, and images.
• While OCR and AI have limitations, they greatly expand access to otherwise inaccessible content.
• For many blind and visually impaired Mac users, VOCR has become an essential accessibility tool.

About Andre

Andre is a versatile musician from London. Gigging and composing many styles of music In this ever-changing, ever-growing musical landscape of artists, Andre tries to find his own inimitable style and bring it to any project he’s a part of.

Since 2021 Andre has worked with renowned Drum and Bass producer Zero T under his stage-name Onj. So far they’ve released two albums through a record label and a handful of other tracks in conjunction with other artists.

Andre has also been at the forefront of helping to make Native Instruments products more accessible to those with a visual impairment. In recent times he has begun teaching blind students to use the industry-standard DAW, Logic Pro, in hopes of giving them an outlet for their own musical creations.