Create Reddit Videos with just✨ one command ✨
This report presents the forensic synthetic code analysis of elebumm/RedditVideoMakerBot, a Python project with 12,514 GitHub stars. SynthScan v2.0 examined 5,932 lines of code across 61 source files, recording 48 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 10.4 places this repository in the Low AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 48 distinct pattern matches across 10 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | main.py | 126 | except Exception as err: | CODE |
| LOW | video_creation/screenshot_downloader.py | 184 | except Exception as e: | CODE |
| LOW | utils/ffmpeg_install.py | 61 | except Exception as e: | CODE |
| LOW | utils/ffmpeg_install.py | 77 | except Exception as e: | CODE |
| LOW | utils/ffmpeg_install.py | 137 | except Exception as e: | CODE |
| MEDIUM | utils/ffmpeg_install.py | 8 | def ffmpeg_install_windows(): | CODE |
| MEDIUM | utils/ffmpeg_install.py | 69 | def ffmpeg_install_linux(): | CODE |
| MEDIUM | utils/ffmpeg_install.py | 87 | def ffmpeg_install_mac(): | CODE |
| LOW | utils/settings.py | 115 | except Exception as error: | CODE |
| LOW | utils/gui_utils.py | 50 | except Exception: | CODE |
| LOW | TTS/openai_tts.py | 90 | except Exception as e: | CODE |
| MEDIUM | TTS/streamlabs_polly.py | 64 | print("Error occurred calling Streamlabs Polly") | CODE |
| MEDIUM | reddit/subreddit.py | 48 | print("Something went wrong...") | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | install.sh | 49 | # Check if homebrew is installed | COMMENT |
| LOW | video_creation/screenshot_downloader.py | 124 | # Check if the redesign optout cookie is set | COMMENT |
| LOW | utils/ffmpeg_install.py | 16 | # Check if ffmpeg.zip already exists | COMMENT |
| LOW | utils/ffmpeg_install.py | 25 | # Check if the extracted folder already exists | COMMENT |
| LOW | utils/ffmpeg_install.py | 114 | # Check if there's ffmpeg.exe in the current directory | COMMENT |
| LOW | utils/gui_utils.py | 163 | # Check if the position is valid | COMMENT |
| LOW⚡ | utils/gui_utils.py | 183 | # Check if the background doesn't already exist | COMMENT |
| LOW⚡ | utils/gui_utils.py | 187 | # Check if key isn't already taken | COMMENT |
| LOW⚡ | utils/gui_utils.py | 192 | # Check if the YouTube URI isn't already used under different name | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | video_creation/screenshot_downloader.py | 19 | CODE | |
| LOW | video_creation/final_video.py | 199 | CODE | |
| LOW | video_creation/final_video.py | 45 | CODE | |
| LOW | utils/console.py | 38 | CODE | |
| LOW | utils/ffmpeg_install.py | 8 | CODE | |
| LOW | utils/ffmpeg_install.py | 104 | CODE | |
| LOW | utils/subreddit.py | 19 | CODE | |
| LOW | utils/settings.py | 110 | CODE | |
| LOW | TTS/engine_wrapper.py | 69 | CODE | |
| LOW | TTS/engine_wrapper.py | 105 | CODE | |
| LOW | TTS/streamlabs_polly.py | 37 | CODE | |
| LOW | reddit/subreddit.py | 16 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | video_creation/screenshot_downloader.py | 19 | def get_screenshots_of_reddit_posts(reddit_object: dict, screenshot_num: int): | CODE |
| LOW | video_creation/background.py | 76 | def download_background_video(background_config: Tuple[str, str, str, Any]): | CODE |
| LOW | video_creation/background.py | 99 | def download_background_audio(background_config: Tuple[str, str, str]): | CODE |
| LOW | video_creation/voices.py | 54 | def get_case_insensitive_key_value(input_dict, key): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | video_creation/screenshot_downloader.py | 4 | CODE | |
| LOW | video_creation/final_video.py | 21 | CODE | |
| LOW | utils/id.py | 4 | CODE | |
| LOW | utils/imagenarator.py | 2 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | video_creation/background.py | 169 | # Create a tuple for downloads background (background_audio_options, background_video_options) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | video_creation/screenshot_downloader.py | 16 | __all__ = ["get_screenshots_of_reddit_posts"] | CODE |
| LOW | TTS/TikTok.py | 11 | __all__ = ["TikTok", "TikTokTTSException"] | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | utils/console.py | 38 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | TTS/engine_wrapper.py | 99 | else: # If the comment is not too long, just call the tts engine | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .github/workflows/codeql-analysis.yml | 1 | COMMENT |