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Parseflow.tech
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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
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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.
Based on our record, appfigures seems to be more popular. It has been mentiond 5 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.
You can track this for free for example with AppFigures (and probably a few other websites): https://appfigures.com/. Source: over 3 years ago
Another option is us (Appfigures: https://appfigures.com). We make sense of all the data Apple and Google make available for subscriptions, add our own (MRR, Churn, etc) and donโt require any setup within the app so you can get started immediately and have all of your history available. Source: almost 4 years ago
Apple doesn't have a public API for this as far as I know, so other organizations like https://appfigures.com/. Source: over 4 years ago
This year I've spent much time learning App Store Optimalisation (ASO) and managed to have my app Daily, a time tracker for macOS, rank first for its most important keyword in many countries. This has been a gamechanger for the (financial) success of the app. Keen to do the same for your app? This post describes how. Its content is heavily based on Appfigures's excellent Keyword Teardowns, which I've thoroughly... Source: almost 5 years ago
BEVERLY HILLS, CA / ACCESSWIRE / June 23, 2021 / ClickStream Corp. (OTC PINK:CLIS), a technology company focused on developing apps and digital platforms to disrupt conventional industries, is pleased to announce its subsidiary Nebula Software Corp.'s HeyPalโข App achieved Top 10 rank among iOS Education Apps in 25 countries over the past week. According to data from https://appfigures.com/, the newly released... Source: about 5 years ago
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