
Sensor Tower
appfigures
App Annie
Mobile Action
App Radar
AppFollow
AppTweak
42matters
Parseflow.tech
DocParser
Nanonets
Reducto
Parseur.com
DocuClipper
Mindee
Klippa
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
Sensor Tower
Parseflow.techNo Parseflow.tech videos yet. You could help us improve this page by suggesting one.
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, Sensor Tower seems to be more popular. It has been mentiond 30 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.
The hype around AI shows no signs of slowing down and continues to attract attention from publishers, developers, anyone creating mobile applications for their business, and those with a keen interest. This fact is proved by the latest report, State of AI, which analyzed current trends in 2025, released by Sensor Tower, the leading source of mobile app insights. If you havenโt had time to look through the report,... - Source: dev.to / 12 months ago
I was optimistically hoping some of the MV3 changes would result in Chrome webstore policy enforcement being standardized, but that hasn't happened. Sensor Tower (https://sensortower.com/) makes a lot of popular extensions, like StayFocusd https://www.stayfocusd.com/. They seem to resell ad data (in violation of [1]?) and ship likely obfuscated code [2] (in violation of [3]?), but there's no enforcement or even... - Source: Hacker News / almost 2 years ago
Yes, and they will be right. Just look at its revenue (sensortower.com) through the many fiascos. Source: about 4 years ago
(source: https://sensortower.com/). Source: about 4 years ago
Ya I checked out data.ai and sensortower.com. Both give pretty good overview data. But I think you're right, premium may be required for any in depth user information. Source: over 4 years ago
appfigures - Cross-platform app store analytics for all of your mobile apps.
DocParser - 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.
App Annie - App Annie is a marketing analytics tool available for apps of all kinds. With App Annie, you can track sales, traffic, and a variety of other factors pertinent to monitoring an app's trajectory.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Mobile Action - Mobile Data Intelligence & Actionable Insights.
Reducto - Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale.