Software Alternatives & Startups

TokenPig VS Datify

Compare TokenPig VS Datify and see what are their differences

TokenPig

Upload a document and turn it into clean, token-efficient Markdown for ChatGPT, Claude, Gemini, Cursor and RAG workflows.

Rating
0 reviews
Pricing
Freemium Free trial
Datify

Smitiv is the leading web & Mobile application development company in Singapore. We render you the solution for Android, Digital marketing, ERP development services.

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

TokenPig
Datify
Website tokenpig.co smitiv.co
Pricing
Freemium Free trial Official pricing
Open source
Platforms
Web
—
Listed in

About TokenPig and Datify

In their own words, as submitted to SaaSHub.

TokenPig
Datify

TokenPig converts documents into clean, structured Markdown built specifically for LLM and RAG workflows — ChatGPT, Claude, Gemini, and retrieval pipelines. The problem Raw PDF, Word, PowerPoint and Excel exports carry a lot of formatting noise — repeated headers, broken tables, inconsistent...

Read more about TokenPig

No description of Datify yet.

Features and specs

What each product offers, as listed by its team.

TokenPig 3 features
Datify 0 features
  • Supported Formats
    PDF, DOCX, PPTX, XLSX, HTML, CSV, JSON, XML, TXT, MD
  • Token savings estimate
    Shows tokens saved vs. raw document for each conversion
  • Batch processing & API
    Pro/Enterprise plans include batch conversion, ZIP export and a conversion API

No features have been listed yet.

Analysis

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

TokenPig
Datify

No analysis of TokenPig yet.

Overall verdict

  • Datify appears to be a data-focused platform, but there is limited widely available independent information to fully verify its quality and reputation. Any assessment should be treated cautiously, and prospective users are encouraged to test it directly and review current customer feedback before committing.

Why this product is good

  • May offer data analytics or data management tools that streamline workflows
  • Potentially useful for teams looking to consolidate and visualize their data
  • Could provide integrations with common business tools
  • Might offer flexible pricing suitable for different business sizes

Recommended for

  • Small to medium businesses exploring data analytics solutions
  • Teams needing centralized data management
  • Users who want to trial a platform before fully committing
  • Data-driven organizations seeking additional tooling options

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
TokenPig
Datify
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
CRM
100% 100%

Questions & Answers

As answered by people managing TokenPig and Datify.

What's the story behind your product?

TokenPig's answer

TokenPig started from a recurring frustration: pasting PDF or Word exports into an LLM and watching layout noise — repeated headers, broken tables, stray whitespace — burn through the context window before the actual content even got read. TokenPig was built to solve that specific problem: clean, structured Markdown output plus visibility into the tokens saved.

How would you describe the primary audience of your product?

TokenPig's answer

Two main groups: individuals who regularly feed documents into ChatGPT or Claude and want cleaner, cheaper context (researchers, consultants, students), and developers/teams building RAG pipelines who need reliable document-to-Markdown conversion via API.

What makes your product unique?

TokenPig's answer

TokenPig focuses specifically on token efficiency, not just format conversion. Alongside clean Markdown output, it shows an estimated token savings for every conversion, so users can see exactly how much context window they're recovering before pasting a document into ChatGPT, Claude or Gemini — something general-purpose converters don't surface.

Why should a person choose your product over its competitors?

TokenPig's answer

TokenPig runs entirely in the browser — no Python setup, no libraries to install, no code to maintain. That makes it accessible to non-developers (consultants, researchers, students) while still offering batch processing and an API for teams that want to automate document ingestion at scale.

Who are some of the biggest customers of your product?

TokenPig's answer

  • Independent consultants and researchers preparing documents for LLM workflows
  • Development teams building RAG pipelines

Which are the primary technologies used for building your product?

TokenPig's answer

Built as a modern web application using Next.js and TypeScript, with a focus on fast, reliable document processing entirely server-side — no client installation required.

User comments

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When comparing TokenPig and Datify, you can also consider the following products.