
Parseur.com
DocParser
Nanonets
Docsumo
Airparser
DocuClipper
Parserr
No-code email & PDF parser

Agentmemory
Mem0
Stop re-explaining your project to Claude every session. ContextForge adds persistent memory to Claude Code, Cursor, and Copilot via MCP. Free tier, 3-minute setup.

Which is more popular?
Based on our record, Parsio.io seems to be a lot more popular than ContextForge.dev. While we know about 35 links to Parsio.io, we've tracked only 2 mentions of ContextForge.dev.
Website, pricing, platforms and company facts side by side.
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| Website | parsio.io | contextforge.dev |
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| Company | 2021 | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Parsio is an AI-powered document parser that extracts data automatically. It uses machine learning to extract structured data from emails, PDFs, Excel, CSV, HTML and XML files. The parsed data can be exported in real time to Google Sheets, Slack, Notion, Airtable, and 6000+ apps via Zapier and...
ContextForge is persistent, searchable memory for AI coding agents — built on the Model Context Protocol (MCP). Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


No analysis of Parsio.io yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Parsio.io Review - Easy No Code Email & Attachment Parsing with Webhooks, Google Sheets Integration
More videos
How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Parsio.io and ContextForge.dev.
ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
Share your experience with using Parsio.io and ContextForge.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Parsio.io — Free email parser (Forward email, extract the data, send it to your server). - Source: dev.to / almost 3 years ago
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: about 3 years ago
I'm the founder of Parsio (https://parsio.io). We use pre-trained AI models to automatically extract tables from PDFs. It works perfectly in most cases. Source: about 3 years ago
Init links the folder to a project, so every agent working in that repo reads and writes the same memory, and it adds the rules that make sessions check who else is live before big changes. For Cursor, Copilot, Claude Desktop and... - Source: dev.to / 16 days ago
I built ContextForge because I was losing this argument with my own agents several times a week. The idea is small: when we decide something, the agent saves the decision with the reason, in the project's memory. The next session, in... - Source: dev.to / about 1 month ago
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Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
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Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
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