Transmutation
C+ 76 completed
Library
containerized / rust · small
153
Files
22,146
LOC
0
Frameworks
8
Languages
Pipeline State
completedRun ID
#302856Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
77.33Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:57Deduplication group #50210
Member of a group with 3 similar repo(s) — canonical #76081 view group →
Top concepts (9)
RepositoryProject DescriptioninfrastructureData/MLtestingFactoryTestingFile ManagementDatabase
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
detect_by_extensionDetermines the file type based on the provided file path. It accepts a reference to a path object and returns a Result containing the corresponding FileFormat enum variant or a TransmutationError if the extension is unrecognized or missing. The function reads the file's extension, converts it to low
detect_by_magic_bytesReads the contents of a file specified by a path and determines its file type by inspecting its magic bytes and media type. It returns an enum variant representing the detected file format, or an error if the format is unknown. A notable side-effect is that if the detected type is a ZIP archive, it
detect_office_format_from_zipDetermines the file type of a given archive by inspecting its internal structure. It accepts a path to a file and returns a FileFormat enum indicating whether the archive is a DOCX, PPTX, XLSX, or a generic ZIP file. The function reads the contents of the file and checks for specific XML markers wit
AI Prompt
Create a high-performance document conversion engine, similar to Transmutation, written in pure Rust. This tool needs to transform various file formats into optimized text and image outputs suitable for LLM processing and vector embeddings. Specifically, it must support converting PDF, DOCX, XLSX, PPTX, HTML, XML, TXT, CSV/TSV, and RTF/ODT (even if in beta). For image inputs like JPG/JPEG and PNG, it should use OCR via Tesseract to output Markdown and JSON. The goal is to achieve speed comparable to or better than Docling, focusing on generating Markdown, JSON, and image outputs.
rust document-conversion llm embeddings pdf docx image-processing ocr high-performance
Generated by gemma4:latest
Catalog Information
Transmutation is a high-performance document conversion engine for AI/LLM embeddings, designed to transform various file formats into optimized text and image outputs suitable for LLM processing and vector embeddings.
Description
Transmutation is a pure Rust document conversion engine that transforms various file formats into optimized text and image outputs. It's designed for LLM processing and vector embeddings, offering superior speed, lower memory usage, and zero runtime dependencies. The project aims to provide a high-performance alternative to Docling, with a goal of achieving 95% similarity in precision mode.
الوصف
ترانسموطة هي محرك تحويل مستندات عالية السرعة لتعديلات AI/LLM، مصممة لتتحول تنسيقات المستندات المختلفة إلى Outputs النصية والصور الم оптимالية. وهي مصممة للاستخدام مع تعلم الآلة وتحليل المعاني، وتوفر أداء أفضل منافسها Docling، وذاكرته المنخفضة، ومكتبات لا تدوال في وقت التشغيل.
Novelty
9/10Tags
document-conversion ai-llm-embeddings high-performance pure-rust zero-runtime-dependencies optimized-text-and-image-outputs
Technologies
serde tokio
Claude Models
claude-opus-4.5 claude-opus-4.6
Quality Score
C+
76.5/100
Structure
81
Code Quality
64
Documentation
86
Testing
65
Practices
78
Security
100
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 1896 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Add a linter configuration to enforce code style consistency
- Address 25 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
12.8h
Tech Debt (B)
High
DORA Rating
A
OWASP (100%)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
PASS
Quality Gate
A
Risk (1)
MIT
License
9.4%
Duplication
Languages
Frameworks
None detected
Symbols
function620
extension112
struct94
enum16
constant15
type_alias12
trait3
macro2
Concepts (9)
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| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | High-performance document conversion engine for AI/LLM embeddings | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 10 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Database | Detected from 5 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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