# handy-computer/transcribe.cpp SLOC report

> As of 2026-10-07 (commit 135d744cbb87), handy-computer/transcribe.cpp contains 732,601 total lines: 570,109 code, 63,521 comments, 98,971 blank, across 2,179 files in 27 languages (top: C++ 42.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

handy-computer/transcribe.cpp has 570,109 source lines of code out of 732,601 total lines across 2,179 files, counted from the main ref at commit 135d744cbb87 by the OctoCounts tokei engine on 2026-10-07. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving handy-computer/transcribe.cpp to commit 135d744cbb87, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a large codebase by counted code lines. Code represents 77.8% of all lines, comments represent 8.7%, and the repository averages 262 code lines per file. C++ accounts for 42.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C++ | 406 | 309,501 | 243,419 | 24,803 | 41,279 |
| C | 95 | 88,384 | 69,518 | 4,567 | 14,299 |
| C Header | 315 | 81,309 | 52,981 | 17,116 | 11,212 |
| Python | 176 | 60,820 | 48,804 | 4,643 | 7,373 |
| OpenCL | 181 | 44,602 | 38,796 | 0 | 5,806 |
| CUDA | 190 | 26,545 | 21,447 | 1,284 | 3,814 |
| JSON | 143 | 20,030 | 20,030 | 0 | 0 |
| GLSL | 190 | 23,971 | 19,221 | 838 | 3,912 |
| C++ Header | 78 | 18,962 | 14,724 | 1,331 | 2,907 |
| Metal Shading Language | 20 | 12,302 | 9,483 | 433 | 2,386 |
| WebGPU Shader Language | 43 | 7,034 | 5,721 | 216 | 1,097 |
| CMake | 56 | 6,567 | 4,859 | 906 | 802 |

Top language (C++ 42.7%). Generated at 2026-10-07T21:39:59.010230808+00:00. Canonical report: https://octocounts.com/github/handy-computer/transcribe.cpp

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/handy-computer/transcribe.cpp/commit/135d744cbb87dcac8a04dbc9bab1bb25ada5d701?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does handy-computer/transcribe.cpp have?

handy-computer/transcribe.cpp has 732,601 total lines, including 570,109 code lines, 63,521 comment lines, and 98,971 blank lines.

### How was the handy-computer/transcribe.cpp line count measured?

OctoCounts resolved the public GitHub repository to commit 135d744cbb87, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for handy-computer/transcribe.cpp?

This OctoCounts report was generated from main at commit 135d744cbb87 on 2026-10-07T21:39:59.010230808+00:00.

## Similar repository reports

- [tdlib/td](https://octocounts.com/github/tdlib/td) — C++, 567,142 code lines
- [noctalia-dev/noctalia](https://octocounts.com/github/noctalia-dev/noctalia) — C++, 547,481 code lines
- [chromium/openscreen](https://octocounts.com/github/chromium/openscreen) — C++, 542,083 code lines
- [RPCS3/rpcs3](https://octocounts.com/github/RPCS3/rpcs3) — C++, 524,895 code lines
- [vcmi/vcmi](https://octocounts.com/github/vcmi/vcmi) — C++, 630,051 code lines
- [PointCloudLibrary/pcl](https://octocounts.com/github/PointCloudLibrary/pcl) — C++, 515,753 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Electron vs Tauri](https://octocounts.com/compare/electron-vs-tauri)
- [Godot vs Bevy](https://octocounts.com/compare/godot-vs-bevy)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
