Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.
This report presents the forensic synthetic code analysis of steipete/summarize, a TypeScript project with 6,420 GitHub stars. SynthScan v2.0 examined 226,369 lines of code across 1317 source files, recording 615 pattern matches distributed across 8 syntactic categories. The overall adjusted score of 2.8 places this repository in the Likely human-written 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).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
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 615 distinct pattern matches across 8 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 | …transcript.podcast-provider.podcast-transcript.test.ts | 3 | async function importPodcastModulesWithoutTranscription() { | CODE |
| LOW | tests/run.config.test.ts | 18 | function resolveTestConfigStateWithEnv( | CODE |
| LOW | tests/sidepanel.slides-stream-controller.test.ts | 17 | function streamWithKeepaliveAndDone(delayMs: number, keepaliveEveryMs: number) { | CODE |
| LOW | …s/transcript.podcast-provider.download-streams.test.ts | 6 | async function importPodcastProviderWithFfmpeg(plan: SpawnPlan) { | CODE |
| LOW | …ts/transcript.podcast-provider.more-branches-3.test.ts | 7 | async function importPodcastProviderWithFfmpeg(plan: SpawnPlan) { | CODE |
| LOW | tests/slides.render-inline.test.ts | 26 | function createTtyStreamWithoutColumns() { | CODE |
| LOW | tests/application.execute-summarize.test.ts | 72 | function createPreparedInputResources({ | CODE |
| LOW | tests/cli.spinner-output.test.ts | 87 | function applyCarriageReturnAndClearLine(text: string): string { | CODE |
| LOW | tests/sidepanel.stream-controller.error.test.ts | 17 | function streamWithKeepaliveThenEvents( | CODE |
| LOW | tests/background-listeners.userscript.test.ts | 4 | function installChromeListenerStubs() { | CODE |
| LOW | tests/helpers/transcription-env.ts | 19 | export function stubMissingTranscriptionEnv(): void { | CODE |
| LOW | tests/helpers/application-summarize.ts | 11 | export function createTestSummarizeUrlFlowContext(options: { | CODE |
| LOW | scripts/release-formula.js | 25 | function stripExistingPlatformConfig(data) { | CODE |
| LOW | scripts/release-formula.js | 86 | export function updateFormulaForMacArtifacts(data, { urlArm, shaArm, urlX64, shaX64 }) { | CODE |
| LOW | packages/core/src/language.ts | 157 | export function formatOutputLanguageInstruction(language: OutputLanguage): string { | CODE |
| LOW | packages/core/src/language.ts | 164 | export function formatOutputLanguageForJson( | CODE |
| LOW | packages/core/src/processes.ts | 92 | export function terminateTrackedProcesses(signal: NodeJS.Signals): void { | CODE |
| LOW | packages/core/src/transcription/onnx-cli.ts | 17 | export function resolvePreferredOnnxModel(env: Env = process.env): OnnxModelId | null { | CODE |
| LOW | packages/core/src/transcription/onnx-cli.ts | 185 | async function ensureModelArtifactsDownloaded({ | CODE |
| LOW | packages/core/src/transcription/onnx-cli.ts | 301 | export async function transcribeWithOnnxCliFile({ | CODE |
| LOW | …src/transcription/whisper/diarization-openai-chunks.ts | 17 | export async function transcribeOpenAiMediaFileInChunks({ | CODE |
| LOW | …src/transcription/whisper/diarization-openai-chunks.ts | 91 | async function transcribeOpenAiChunkWithRetry({ | CODE |
| LOW | …src/transcription/whisper/diarization-openai-chunks.ts | 152 | export function resolveOpenAiDiarizationChunkSeconds(totalDurationSeconds: number): number { | CODE |
| LOW | …src/transcription/whisper/diarization-openai-chunks.ts | 157 | function namespaceOpenAiChunkSegments( | CODE |
| LOW | packages/core/src/transcription/whisper/elevenlabs.ts | 26 | export async function transcribeFileWithElevenLabsDiarization({ | CODE |
| LOW | packages/core/src/transcription/whisper/elevenlabs.ts | 76 | function createLongRunningFetchDispatcher(): UndiciDispatcher | null { | CODE |
| LOW | packages/core/src/transcription/whisper/elevenlabs.ts | 102 | export function parseElevenLabsDiarizedSegments(words: unknown): TranscriptionSegment[] { | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 56 | export function resolveDiarizationProviderOrder({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 73 | export function buildDiarizationModelChain(providers: DiarizationProvider[]): string | null { | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 82 | export async function transcribeMediaFileWithDiarization({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 188 | async function transcribeOpenAiMediaFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 252 | export async function transcribeMediaBytesWithDiarization({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 282 | export function buildMissingDiarizationProviderMessage(preference: DiarizationPreference): string { | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 296 | async function prepareDiarizationMediaFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 380 | async function prepareOpenAiDiarizationFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/diarization.ts | 454 | export function resolveOpenAiDiarizationBitrateKbps( | CODE |
| LOW | packages/core/src/transcription/whisper/assemblyai.ts | 70 | async function submitAssemblyAiTranscript( | CODE |
| LOW | packages/core/src/transcription/whisper/assemblyai.ts | 136 | async function transcribeUploadedAudioWithAssemblyAi( | CODE |
| LOW | packages/core/src/transcription/whisper/assemblyai.ts | 188 | export async function transcribeFileWithAssemblyAi({ | CODE |
| LOW | packages/core/src/transcription/whisper/utils.ts | 15 | export function ensureWhisperFilenameExtension(name: string, mediaType: string): string { | CODE |
| LOW | packages/core/src/transcription/whisper/openai.ts | 69 | export async function transcribeFileWithOpenAiDiarization({ | CODE |
| LOW | packages/core/src/transcription/whisper/openai.ts | 143 | function isIgnorableEmptyDiarizedSegment(value: unknown): boolean { | CODE |
| LOW | packages/core/src/transcription/whisper/openai.ts | 157 | export function parseOpenAiDiarizedSegments(segments: unknown): TranscriptionSegment[] { | CODE |
| LOW | packages/core/src/transcription/whisper/openai.ts | 183 | export function shouldRetryOpenAiViaFfmpeg(error: Error): boolean { | CODE |
| LOW | packages/core/src/transcription/whisper/whisper-cpp.ts | 28 | export async function resolveWhisperCppModelNameForDisplay( | CODE |
| LOW | packages/core/src/transcription/whisper/whisper-cpp.ts | 35 | export async function transcribeWithWhisperCppFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/whisper-cpp.ts | 223 | async function resolveWhisperCppModelPath( | CODE |
| LOW | packages/core/src/transcription/whisper/whisper-cpp.ts | 253 | function resolveWhisperCppModelLabelFromPath(modelPath: string): string { | CODE |
| LOW | packages/core/src/transcription/whisper/whisper-cpp.ts | 263 | function isWhisperCppSupportedMediaType(mediaType: string): boolean { | CODE |
| LOW | packages/core/src/transcription/whisper/core.ts | 44 | export async function transcribeMediaWithWhisper({ | CODE |
| LOW | packages/core/src/transcription/whisper/core.ts | 167 | export async function transcribeMediaFileWithWhisper({ | CODE |
| LOW | packages/core/src/transcription/whisper/preferences.ts | 5 | export function resolveTranscriberPreference(env: Env): "auto" | "whisper" | "parakeet" | "canary" { | CODE |
| LOW | packages/core/src/transcription/whisper/preferences.ts | 11 | export function resolveOnnxModelPreference(env: Env): "parakeet" | "canary" | null { | CODE |
| LOW | packages/core/src/transcription/whisper/ffmpeg.ts | 37 | export async function probeMediaDurationSecondsWithFfprobe( | CODE |
| LOW | packages/core/src/transcription/whisper/local.ts | 52 | export async function transcribeWithLocalOnnxFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/local.ts | 94 | export async function transcribeWithLocalWhisperBytes({ | CODE |
| LOW | packages/core/src/transcription/whisper/local.ts | 132 | export async function transcribeWithLocalWhisperFile({ | CODE |
| LOW | packages/core/src/transcription/whisper/local.ts | 176 | async function safeTranscribeWithWhisperCppFile(args: { | CODE |
| LOW | packages/core/src/transcription/whisper/remote.ts | 72 | async function transcribeBytesAcrossProviders({ | CODE |
| LOW | packages/core/src/transcription/whisper/remote.ts | 158 | export async function transcribeBytesWithRemoteFallbacks({ | CODE |
| 535 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | src/markitdown.ts | 76 | print("OCR failed: " + "; ".join(errors), file=sys.stderr) | CODE |
| HIGH | src/markitdown.ts | 88 | print(markdown) | CODE |
| HIGH | src/markitdown.ts | 98 | print(markdown) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/application.execute-summarize.test.ts | 43 | content: "placeholder", | CODE |
| LOW | tests/run.url-video-only.test.ts | 38 | content: "placeholder", | CODE |
| LOW | tests/run.url-flow.max-extract-characters.test.ts | 70 | const content = `<!doctype html><html><head><title>Long</title></head><body><article>${"lorem ipsum ".repeat(3000)}< | CODE |
| LOW | tests/cli.video-only-youtube-switch.test.ts | 41 | content: "placeholder", | CODE |
| LOW | tests/slides-text.utils.test.ts | 678 | { startSeconds: 1, text: "lorem ipsum dolor sit amet" }, | CODE |
| LOW | tests/slides-text.utils.test.ts | 678 | { startSeconds: 1, text: "lorem ipsum dolor sit amet" }, | CODE |
| LOW | tests/sidepanel.bootstrap-runtime.test.ts | 68 | setModelPlaceholderFromDiscovery: () => calls.push("placeholder"), | CODE |
| LOW | tests/sidepanel.bootstrap-runtime.test.ts | 132 | setModelPlaceholderFromDiscovery: () => calls.push("placeholder"), | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …ps/chrome-extension/src/automation/default-skills.json | 36 | "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate using | CODE |
| LOW⚡ | …ps/chrome-extension/src/automation/default-skills.json | 39 | "examples": "// Step 1: Collect posts (on activity page)\nconst posts = await browserjs(async () => {\n return awai | CODE |
| LOW | …ps/chrome-extension/src/automation/default-skills.json | 50 | "library": "window.whatsapp = {\n \n // List all chats with unread status (handles virtual scrolling)\n listChats | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …ps/chrome-extension/src/automation/default-skills.json | 36 | "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate using | CODE |
| LOW⚡ | …ps/chrome-extension/src/automation/default-skills.json | 39 | "examples": "// Step 1: Collect posts (on activity page)\nconst posts = await browserjs(async () => {\n return awai | CODE |
| LOW | …ps/chrome-extension/src/automation/default-skills.json | 50 | "library": "window.whatsapp = {\n \n // List all chats with unread status (handles virtual scrolling)\n listChats | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | …ps/chrome-extension/src/automation/default-skills.json | 36 | "description": "# LinkedIn Engagement Automation\n\n**IMPORTANT FOR AI:** Multi-step workflow. You orchestrate using | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/docs-serve.sh | 3 | # Usage: | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | src/markitdown.ts | 71 | except Exception as exc: | CODE |