GitHub - sassanix/Warracker: 🛡️ Warracker is an open source, self-hostable warranty tracker to monitor expirations, store receipts, files. You own the data, your rules!
"🛡️ Warracker is an open source, self-hostable warranty tracker to monitor expirations, store receipts, files. You own the data, your rules! - sassanix/Warracker"
#receipt : a writing acknowledging the taking or receiving of goods delivered
- French: recette
- German: die Empfangsbestätigung
- Italian: ricezione
- Portuguese: recibo
- Spanish: recibo
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Try Christian's word chain building game @ https://wordwallgame.com
🚙 Taibang: Muss VW die Produktion stoppen?
https://taibang.substack.com/p/taibang-mit-vw-mixue-und-arcfox
#vw #nexperia #mixue #kassenbon #receipt #elektroauto #electricvehicle #ev #arcfox #baic #baicgroup
#explorechina #discoverchina #visitchina #amazingchina #beautifulchina #mychina #yourchina #china
[Перевод] Автоматический парсинг чеков с LlamaIndex и Pydantic
Команда Python for Devs подготовила перевод статьи о том, как с помощью LlamaIndex и Pydantic можно превратить сканы чеков в структурированные данные. Минимум кода — и у вас готовый CSV для анализа.
https://habr.com/ru/articles/953414/
#Python #LlamaIndex #Pydantic #OCR #Kaggle #Receipt #Extraction #CSV #Async #Pipeline
#receipt : a writing acknowledging the taking or receiving of goods delivered
- French: recette
- German: die Empfangsbestätigung
- Italian: ricezione
- Portuguese: recibo
- Spanish: recibo
------------
Try Christian's word chain building game @ https://wordwallgame.com
🧾 Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing
https://arxiv.org/abs/2509.04469
#software #ai #ml #llm #vision #machinevision #computervision #cs #invoice #receipt
This paper benchmarks eight multi-modal large language models from three families (GPT-5, Gemini 2.5, and open-source Gemma 3) on three diverse openly available invoice document datasets using zero-shot prompting. We compare two processing strategies: direct image processing using multi-modal capabilities and a structured parsing approach converting documents to markdown first. Results show native image processing generally outperforms structured approaches, with performance varying across model types and document characteristics. This benchmark provides insights for selecting appropriate models and processing strategies for automated document systems. Our code is available online.
Rasta
tobru 🇨🇭 🧑🚒
kls
WordofTheHour
Dirk Holtwick
Xiefuzi
Shobeir
Habr
Paul Houle