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Tech stack
60 projects
No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
Extract text from images, documents, and PDFs in over 100 languages.
ScanRead.ai — OCR 文字提取工具，支持 100+ 语言，可从图片、PDF、截图和手写文档中提取文字
Extract structured data from PDFs automatically using AI for automated workflows.
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this
Extract text from PDFs using multiple OCR models through a REST API.
nmatej1 · HN
OpenParser – swappable OCR models in one API
Extract web content as clean Markdown, JSON, or text for AI and RAG pipelines.
Sparkfetch · GitHub
sparkfetch 🔥 Turn any URL into clean, structured, LLM-ready content. The open-source web fetching & extraction API.
AI-powered invoice, receipt, and bank statement extraction with QuickBooks + Xero-CSV export.
@invoize_uk · X
Code for sell
Extract structured data from PDF documents directly in your browser without uploading.
@MitanshDevNew · X
just shipped DataDrop — extract data from messy PDFs without uploading anywhere. everything runs in your browser. free to try, $10/mo for unlimited. #BuildInPublic
AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month
Extract documents from your old GPT and Claude chat exports.
@ARCHEPERSONA · X
Need just a couple of customers to help me across the XPrize finish line. $5 bucks to get your documents out of an old GPT/Claude export.
Extract keywords from text or URLs instantly, download as CSV, no signup.
ExtractKeywords — AI 驱动的关键词提取工具，支持中英文，免费使用，无需注册，纯前端实现，隐私安全
Extract tables from engineering PDFs and convert them to styled Excel workbooks automatically.
@SpecParse · X
Convert Complex PDF Tables into Styled Excel Workbooks
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
