Challenge
Apple's built-in dictation barely supports non-English languages, including Ukrainian, and skips others entirely. Standard dictation tools add a 1.5-2.5 second delay between speech and text, breaking the user's train of thought. Every existing option also demands an account, an email, and data retention the user never asked for. Codebridge needed an app fast enough to feel like typing, private enough to need no sign-up, and fluent enough to serve the speakers other tools ignore.
Apple's built-in dictation barely supports non-English languages, including Ukrainian, and skips others entirely. Standard dictation tools add a 1.5-2.5 second delay between speech and text, breaking the user's train of thought. Every existing option also demands an account, an email, and data retention the user never asked for. Codebridge needed an app fast enough to feel like typing, private enough to need no sign-up, and fluent enough to serve the speakers other tools ignore.
Solution
Codebridge built the client natively in Swift on AppKit, AVFoundation, and CoreAudio, and wrote a custom Opus encoder that uploads audio in 20ms packets while the user is still speaking, rather than waiting for the recording to end. The transcript lands at the cursor the moment the user releases the key. That change cut perceived latency from 2,500ms to roughly 300ms. On the backend, Cloudflare Workers and Durable Objects handle state, and recognition routes to the nearest available region to keep latency steady. AI translator agents localized the interface into 40 languages, with each translation scored automatically and reviewed by a human before release. Codebridge applied the same agent-assisted workflow to code review and competitor research, letting a 5-person team ship an Apple-notarized production app in two months.
Codebridge built the client natively in Swift on AppKit, AVFoundation, and CoreAudio, and wrote a custom Opus encoder that uploads audio in 20ms packets while the user is still speaking, rather than waiting for the recording to end. The transcript lands at the cursor the moment the user releases the key. That change cut perceived latency from 2,500ms to roughly 300ms. On the backend, Cloudflare Workers and Durable Objects handle state, and recognition routes to the nearest available region to keep latency steady. AI translator agents localized the interface into 40 languages, with each translation scored automatically and reviewed by a human before release. Codebridge applied the same agent-assisted workflow to code review and competitor research, letting a 5-person team ship an Apple-notarized production app in two months.
Results
In its first three weeks live, Lispr processed 46,011 dictations across 29 countries, led by Ukraine, Indonesia, and Germany. The macOS download is about 6 MB and about 17 MB installed, and the Windows installer is about 14 MB. Dictation needs no account, and the app runs on a single Cloudflare Worker at about 1ms of CPU per dictation. Windows has shipped: Windows 10 and up, 64-bit, code-signed through Microsoft Azure Trusted Signing with Codebridge Technology, Inc. as the verified publisher.
In its first three weeks live, Lispr processed 46,011 dictations across 29 countries, led by Ukraine, Indonesia, and Germany. The macOS download is about 6 MB and about 17 MB installed, and the Windows installer is about 14 MB. Dictation needs no account, and the app runs on a single Cloudflare Worker at about 1ms of CPU per dictation. Windows has shipped: Windows 10 and up, 64-bit, code-signed through Microsoft Azure Trusted Signing with Codebridge Technology, Inc. as the verified publisher.