Tufa
PDF Vector · Marketing · AI Detection
Tufa is an AI document processing API that converts PDFs, Word files, spreadsheets, images, and more into clean text or structured data. It bundles document, identity, invoice, bank statement, and academic research endpoints behind a single key, so teams can parse files, ask questions about them, and pull fields into JSON without building their own OCR stack. A free tier with 100 credits lets you test every API before paying.
About Tufa
What Is Tufa
Tufa is a hosted API for turning documents into usable data. You send a file or a URL, and the service returns markdown text, answers to questions, or structured fields you define yourself. It covers general documents plus specialized formats like passports, invoices, bank statements, and research papers.
It solves a common bottleneck: most teams can store a PDF but can't easily read what's inside it. Tufa handles layout-heavy files with tables, multiple columns, and mixed content, which is where basic text extraction tends to fall apart. The company says it has processed millions of documents across finance, healthcare, legal, and academic work. That's the vendor's own claim, not a third-party benchmark.
The main limits are practical ones. Results depend on how clearly your source files scan, sensitive documents require you to trust a third-party processor, and the academic tools only cover the databases it connects to. Each plan is metered in credits, so heavy usage costs more as you scale.
Getting Started
- Create a free account at the official sign-up page. No credit card is required for the free tier.
- Copy your API key from the workspace dashboard.
- Pick the endpoint that matches your file, such as Document Parse for text or Invoice Extract for structured fields.
- Send a file URL or upload, and pass a schema if you want specific fields returned as JSON.
- Read the response in your app, or wire it into Zapier, Make, or n8n if you'd rather skip code.
Product Information
A quick look at Tufa's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Developers building RAG or data pipelines
- Finance and operations teams
- Researchers and students
Tasks
- Converting a batch of PDFs into markdown
- Pulling totals and vendor details from invoices
- Verifying identity documents
Scenarios
- Automating a recurring document backlog
- Early-stage research review
Key features
One Key, Many Document Types
Tufa covers general documents and specialized formats through a single account and key. You get document, identity, invoice, bank statement, and academic endpoints together, so you don't juggle separate vendors for each file type. Supported inputs include PDF, DOCX, XLSX, PPTX, CSV, common image formats, and more.
Three Modes Per Document Type
Each category offers Parse, Ask, and Extract. Parse returns clean markdown, Ask answers natural-language questions about the content, and Extract returns structured JSON based on a schema you supply. That range means you can pick the lightest option that fits the job instead of always paying for full extraction.
Custom Schema Extraction
With Extract, you define the fields you want, and the API fills them from the document. This matters for reconciliation and reporting, where you need specific columns rather than a wall of text. You set the schema once and reuse it across files.
Academic Research Tools
The academic endpoints search PubMed, arXiv, OpenAlex, and Semantic Scholar, fetch metadata by DOI or PMID, parse public paper PDFs into markdown, and find citations using semantic matching. A paper graph and similar-papers endpoint help trace citation networks, which is useful for literature reviews.
Privacy and Regional Deployment
The vendor states it doesn't store your documents, results, or metadata, processing data in memory and discarding it. Enterprise customers can choose from 34+ regions across 26 countries so data stays within a chosen jurisdiction, aimed at GDPR, SOC 2, ISO 27001, and HIPAA requirements.
No-Code Integrations
Tufa connects to Zapier, Make, and n8n, plus an MCP endpoint for AI apps like Cursor, VS Code, and Claude. Teams without developers can build document workflows by connecting tools they already use instead of writing integration code.
Pros and cons
Pros
- Broad coverage: general, identity, invoice, bank statement, and academic APIs sit behind one key and one bill.
- Flexible output: choose markdown text, answers, or schema-driven JSON depending on the task.
- Free tier with 100 credits to test every API before committing.
- No-code options through Zapier, Make, and n8n for teams without engineers.
Cons
- Pricing is metered in credits, so heavy processing adds up and needs monitoring.
- Output quality depends on the source file; poorly scanned pages reduce accuracy.
- The academic tools only cover databases the service connects to, not the entire literature.
- Sending sensitive documents to a third party requires trust in its privacy and compliance claims.
Frequently asked questions
Tufa turns documents into text or structured data through an API. You send a file or URL and get back markdown, answers to questions, or JSON fields, covering general documents plus invoices, IDs, bank statements, and research papers.
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