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Linktree is the launchpad to your latest video, article, recipe, tour, store, website, social post - everywhere you are online. Join over 10 million of the world's biggest influencers, creators, publishers and brands using Linktree in their marketing strategy.
ParseFlow is a document parsing API that converts PDFs, DOCX files, and plain text into structured, evidence-backed JSON output for developers, automations, and AI workflows.
Unlike tools that return opaque extracted values, ParseFlow includes evidence metadata with every result โ confidence scores, source character offsets, and evidence snippets showing exactly where each value came from. This makes output easier to verify, debug, and trust in production.
Key features: - Structured JSON extraction with evidence spans - Table-aware chunking with presets for RAG, summarization, and extraction - Async jobs and batch processing - LangChain and LlamaIndex adapters - MCP / OpenClaw tooling support - BYOK for advanced extraction with your own model provider keys - Free deterministic tier for evaluation
Best use cases: invoice processing, contract clause extraction, receipt parsing, document intake pipelines, RAG preprocessing, AI workflow integration.
Built by a student. Priced for builders and small teams.
Free deterministic tier available. Starter: $10/month Growth: $15/month
Docs: docs.parseflow.tech
Linktree
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Parseflow.tech's answer:
Parseflow is built for solo devs and small teams. Unlike competitors, Parseflow has a simple set up and usage and is much more affordable compared to enterprise options while offering the same features and quality.
Parseflow.tech's answer:
As a student, AI chatbots and LLMs would always struggle to understand correctly my school homework and documents. To fix this, I built Parseflow to help improve the context for AI models simply to help me complete my homework. Today, Parseflow has become a finished product that can parse, chunk and organize all types of documents to improve context and reduce token usage.
Parseflow.tech's answer:
Parseflow is completely built with Python.
I've been Using Linktree for a few years now and while I needed a simple list of all my links, it did fine.
But when I decided to make changes, I quickly realized that there's simply no tools for my need. You cannot add even simple text or an image. Customization is really limited in general.
So, if you're looking for something more than just a list of links, you should keep looking,
Based on our record, Linktree seems to be more popular. It has been mentiond 141 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Linktree: The classic choice for housing all your links (GitHub, LinkedIn, Blog) in one spot. - Source: dev.to / 7 months ago
As with any CMS I come across, I try to use it with an application. This time I decided to use Astrolink, a minimal alternative to Linktree. You can check it out on a demo page, or see it's details in Astro theme catalog. - Source: dev.to / over 1 year ago
When I first wrote about my pointless personal side projects a few months ago, I used the software I had written to generate my own link site (like a LinkTree clone) as an example. - Source: dev.to / over 1 year ago
Seems like there are some tools that pretty looks like this out there. One of the ex: https://linktr.ee/. - Source: Hacker News / over 2 years ago
This is the clone of LinkTr.ee, those who donโt want to use LinkTr.ee can use this static application to share links with the audience. It is built using HTML, CSS, JS, and a little bit of node.js. - Source: dev.to / over 2 years ago
Carrd - Simple, responsive one-page site creator.
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Mindee - Extract any data point, from any document, in a second
Taplink.at - Turn your link in bio into a navigation hotspot with Taplink's professional templates and drag-and-drop functionality.
ABBYY - ABBYY's leading AI and machine learning technology solutions range from process analysis, data capture, pdf editor, text and content recognition (OCR) and extraction, combining process and content insights to deliver digital intelligence.