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

Scanned.to — AI 驱动的 OCR 文档识别与翻译平台，将扫描 PDF/图片转为可编辑 Word/Text，保留原始排版，支持 50+ 语言翻译

@0xLingjieKong · X

Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

@gaurav_jain26 · X

Built a tool which will help developers and designers to extract resources without touching inspect try out and leave feedback

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

@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

imaginevid-ai · GitHub

Awesome-seedream-5-pro-prompts-and-skills About World's largest Seedream 5.0 Pro prompt library — 10,000+ curated prompts with preview images, 16 languages. Dreamina Seeream AI image generation. Free & open source.

u/nategdd · Reddit

I published reproducible fixtures for a lossless AI text artifact scanner I built AI Text Watermark Remover to inspect copied AI text without rewriting visible words. It reports exact hidden Unicode code points, removes only supported literal artifacts locally, and does not claim that hidden characters prove AI authorship. I just published the browser compatibility fixtures, artifact coverage benchmark, self-hosted API, Docker image, and open-source scanner so the claims can be tested inste

mohitprateek · HN

Anakin – API for your AI agents to access the most difficult websites

@JanasSebastian · X

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

ImagesArt.ai — 生成完美的AI艺术提示词。使用这个工具为Flux、Midjourney和Stable Diffusion模型生成并优化图像提示词。