Comparison of API Services( Graphlit, LlamaParse, UndatasIO etc.) for PDF Extraction to Markdown
In today’s digital landscape, there is a diverse array of services designed to facilitate the extraction of complex PDF documents, particularly those that contain intricate tables and structured data, into Markdown format.
Recently, Graphlit has conducted a comprehensive comparison with itself based on the latest various API services such as LlamaParser, Premium Mode, Reducto, Chunrk, etc. The following is the article content regarding the evaluation results of Graphlit this time:
Comparison of API Services for PDF Extraction to Markdown
We also actively participated in this evaluation activity.
Sample Table
This is the sample table we are using for comparison (converted to PDF format for the testing).
In terms of the sample table, in our understanding, the sample table adopts a standard format. Its row and column layout is regular. There is neither a situation of merged cells nor a cross-page phenomenon, so it is not a particularly complex table type.
In this article, we will conduct in-depth evaluation and analysis from multiple aspects such as the parsing results of PDF tables, the required time and costs.
UndatasIO
Rendered Markdown
Zerox (from OmniAI)
Rendered Markdown
Unstructured.IO
Rendered Markdown
Results
As you can see, when compared with these API services, the results evaluated by UndatasIO also show a very high level of accuracy. UndatasIO provides a representation of the original table with a relatively high degree of precision.
Speed and Cost
In terms of speed, when parsing the sample table, the comparison results show that UndatasIO takes around 30 seconds. In contrast, other platforms, such as Zerox (from OmniAI) and Unstructured.IO, require approximately one minute.
Summary
There are performance and cost differences with each of these approaches, but when looking for the most accurate extraction of Markdown from complex documents with tables, charts, or other formatting, UndatasIO will provide the best results.
After comparing these API-based services in terms of effectiveness and speed, it is clear that UndatasIO stands out with its accurate extraction and relatively faster processing time. For users seeking an efficient solution for converting complex PDF tables into Markdown format, UndatasIO is a reliable choice. However, it’s important to note that different services may be more suitable for different specific use cases, and users should consider their individual needs and priorities when choosing a service.
Contact us
If you’re interested in the UndatasIO platform, feel free to try it out and experience its capabilities.Try now.
Soon, we will also invest a lot of energy in evaluating and analyzing more complex tables and product a new issue of evaluation and comparison reports soon.
📖See Also
- Demystifying-Unstructured-Data-Analysis-A-Complete-Guide
- Cracking-Document-Parsing-Technologies-and-Datasets-for-Structured-Information-Extraction
- Comparison-of-API-Services-Graphlit-LlamaParse-UndatasIO-etc-for-PDF-Extraction-to-Markdown
- Comparing-Top-3-Python-PDF-Parsing-Libraries-A-Comprehensive-Guide
- Assessment-Unveiled-The-True-Capabilities-of-Fireworks-AI
- Assessment-of-Microsofts-Markitdown-series2-Parse-PDF-files
- Assessment-of-MicrosoftsMarkitdown-series1-Parse-PDF-Tables-from-simple-to-complex
- AI-Document-Parsing-and-Vectorization-Technologies-Lead-the-RAG-Revolution
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