Alternatives
Products that do what SoceTonAI DoxTract does
Affordable DocumentAI extraction starting from $1/1000 pages
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Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.
2024 · github.com
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RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
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Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com
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Extracting clean text from PDFs is still a mess. Tools like dockling and marker do a decent job—but they’re slow and resource-hungry. pymupdf4llm is fast, but it’s AGPL-licensed, which means you'd need to open-source everything that talks to it—even over the network. Gemini Batch Prediction gives you blazing throughput and unbeatable pricing—$1 for 6,000 pages. The catch? It’s a pain to use. That is, until now. We wrapped it up in a few friendly CLI commands—simple enough for your grandparents to enjoy.
2025 · github.com
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Mintlify Pro costs 250 USD per month. We wanted something similar (AI assistant and nice UI), but fully customizable and cheap. So we built GibsonAI docs in 1 day for about 50 USD. How we did it: Used Lovable for UI components + rendering MDX beautifully (Markdown stored in GitHub). Built an AI Agent for docs using Agno + Memori → personalized Q&A and “smart educator.” Stored embeddings in LanceDB and metadata in our SQL DB. Bonus: We can share our reusable design templates and source code so you can deploy on Vercel (or anywhere) and skip Lovable costs. Would love feedback on what features…
Sep 2025 · gibsonai.com
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Doxium▲1AI document Q&A for PDF, Excel, Word, PowerPoint
May 2026 · web-production-6ddf4c.up.railway.app
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The goal was to bring down the cost at the context eng. level. We do it with Layout Memoization. Instead of dumping HTML into the context window, we have built a continual learning browser harness (read only for now). We have built an early prototype for you to try out, where you can: 1. Spins up a browser instance 2. Extract any structured or tabular data from anywhere on the open-web 3. And you can do all this at the cost of a vector search Would love to hear your thoughts on this. Thanks for taking the time to read it.
8d ago · makralabs.org
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Most products that touch PDFs or images quietly rebuild the same thing: a hacked-together “router” that picks which OCR/vision API to call, normalizes the responses, and prays the bill is sane at the end of the month. DocsRouter is that layer as a product: one stable API that talks to multiple OCR engines and vision LLMs, lets you route per document based on cost/quality/latency, and gives you normalized outputs (text, tables, fields) so your app doesn’t care which provider was used. It’s meant for teams doing serious stuff with documents: invoices/receipts, contracts,…
Dec 2025 · docsrouter.com
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Hey HN, founder of Peony here. Most founders use DocSend to share investment or sales docs and have to pay $65 to $300 a month to get the security and analytics features. It pains me to see startups getting ripped off when the availability of technologies such as Clickhouse makes real time analytics almost a trivial feature to implement in 2024. We think it's time to end the carnage and democratize the technology. We set ourselves a high bar: we don't want to build another DocSend - we want it to be a far more superior product and also 10x cheaper. After a couple of months of work, I'm proud…
2024 · peony.ink
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