
SpecParse - Engineering PDF Table Extractor
Extract tables from engineering PDFs and convert them to styled Excel workbooks automatically.
@SpecParse · X
Convert Complex PDF Tables into Styled Excel Workbooks
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Extract tables from engineering PDFs and convert them to styled Excel workbooks automatically.
@SpecParse · X
Convert Complex PDF Tables into Styled Excel Workbooks

Extract tables and data from any website with one click, export to Excel or JSON.
Scrapilot — AI 爬虫插件,零代码采集任意网页数据,运行在真实浏览器中,天然抗反爬,支持定时自动化工作流

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

Web scraping API that extracts structured data from websites for AI agents.
mohitprateek · HN
Anakin – API for your AI agents to access the most difficult websites

AI-powered invoice, receipt, and bank statement extraction with QuickBooks + Xero-CSV export.
@invoize_uk · X
Code for sell

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 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 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

Transform tabular data using natural language instead of formulas or code.
ZeljkoS · HN
TamedTable, AI ETL in Natural Language

Spreadsheet tool where each column is an AI agent that automates research, extraction, and data processing.
u/Capital-Top3289 · Reddit
I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You

API to extract data from 44 social media platforms through a unified interface.
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

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