# FunAudioLLM/SenseVoice SLOC report

> As of 2026-09-16 (commit ea1521950962), FunAudioLLM/SenseVoice contains 125,146 total lines: 94,624 code, 14,585 comments, 15,937 blank, across 53 files in 11 languages (top: C Header 95.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

FunAudioLLM/SenseVoice has 94,624 source lines of code out of 125,146 total lines across 53 files, counted from the ea15219509625e5d4c5143c37c86970135886b5d ref at commit ea1521950962 by the OctoCounts tokei engine on 2026-09-16. 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 FunAudioLLM/SenseVoice to commit ea1521950962, 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 medium-sized codebase by counted code lines. Code represents 75.6% of all lines, comments represent 11.7%, and the repository averages 1,785 code lines per file. C Header accounts for 95.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C Header | 5 | 118,164 | 90,400 | 12,962 | 14,802 |
| Python | 24 | 3,472 | 2,853 | 117 | 502 |
| C++ | 3 | 1,297 | 1,131 | 90 | 76 |
| Shell | 2 | 106 | 73 | 19 | 14 |
| CMake | 4 | 71 | 54 | 11 | 6 |
| HTML | 1 | 38 | 38 | 0 | 0 |
| JSON | 1 | 33 | 33 | 0 | 0 |
| Dockerfile | 1 | 47 | 21 | 13 | 13 |
| YAML | 1 | 26 | 21 | 3 | 2 |
| Markdown | 10 | 1,881 | 0 | 1,359 | 522 |
| Plain Text | 1 | 11 | 0 | 11 | 0 |

Top language (C Header 95.5%). Generated at 2026-09-16T10:50:32.478500538+00:00. Canonical report: https://octocounts.com/github/FunAudioLLM/SenseVoice

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/FunAudioLLM/SenseVoice/commit/ea15219509625e5d4c5143c37c86970135886b5d?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 FunAudioLLM/SenseVoice have?

FunAudioLLM/SenseVoice has 125,146 total lines, including 94,624 code lines, 14,585 comment lines, and 15,937 blank lines.

### How was the FunAudioLLM/SenseVoice line count measured?

OctoCounts resolved the public GitHub repository to commit ea1521950962, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for FunAudioLLM/SenseVoice?

This OctoCounts report was generated from ea15219509625e5d4c5143c37c86970135886b5d at commit ea1521950962 on 2026-09-16T10:50:32.478500538+00:00.

## Similar repository reports

- [OHF-Voice/piper1-gpl](https://octocounts.com/github/OHF-Voice/piper1-gpl) — C Header, 92,755 code lines
- [Keftos/ESP32_MIoT](https://octocounts.com/github/Keftos/ESP32_MIoT) — C Header, 108,879 code lines
- [Storm611/KG_sem4](https://octocounts.com/github/Storm611/KG_sem4) — C Header, 76,804 code lines
- [bdth-7777777/OLED_UI](https://octocounts.com/github/bdth-7777777/OLED_UI) — C Header, 75,709 code lines
- [glfw/glfw](https://octocounts.com/github/glfw/glfw) — C Header, 74,409 code lines
- [picovoice/porcupine](https://octocounts.com/github/picovoice/porcupine) — C Header, 73,133 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)
- [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)