Choosing the Right Parser Type
Parsio currently supports 3 parser types:
Choosing the appropriate parser for parsing your documents is crucial.
The 3 tables below show the main differences, advantages, and limitations of each, making it easier for you to choose the right parser for your use case.
|Parser||Use cases||Parser description||Cost|
Parsing transactional machine-generated emails with a fixed layout. Parsing structured file formats: XML, CSV, Excel, JSON.
Create a parsing template by highlighting the data to extract. Structured file formats are processed automatically.
|1 credit / document|
|AI PDF parser||Parsing PDF files: invoices, receipts, business cards, ID documents, PDF tables, W-2 forms and general documents.||Pre-trained AI models automatically extract all available data.||5 credits / page|
|GPT-powered parser||Parsing complex emails, PDFs and documents where other parsers failed.||Write a text prompt as if you were talking to a person.||2 credits / page|
|Template-based||Emails, PDF, HTML, Excel, CSV, XML, DOCX, JSON|
|AI PDF parser||PDF, JPG, PNG, BMP, TIFF|
Emails, PDF, HTML, TXT, DOCX, XML, MD, JSON
Easy to use. Perfect for transactional emails and simple text PDFs. Built-in templates: Haro, Airbnb, Etsy, LinkedIn and more.
No OCR for PDFs. Only some simple text PDFs. Cannot extract tables from PDF files.
|AI PDF parser||
OCR: parse text and scanned PDFs.
Extract tables from PDFs.
Parse hadwritten text.
Uses pre-trained AI models: no need to create parsing templates or parsing rules.
|Limited to avalable pre-trained models: invoices, receipts, business cards, ID documents, PDF tables, W-2 forms and general documents.|
Very powerful for parsing emails, PDFs and documents with complex layout where creting of a parsing template is impossible.
Easy to use: write a text prompt as if you were talking to a person.
|Sometimes it cannot extract large chunks of data. In such cases, it's better to split your document into multiple pieces.|