Comparing the Top 6 OCR Models in 2025
Optical Character Recognition (OCR) has evolved beyond simple text extraction to include advanced document intelligence. Today’s OCR systems can process scanned and digital PDFs simultaneously, preserve document layout, identify tables, extract key-value pairs, and support multiple languages. Additionally, many teams require OCR output that can integrate directly into Retrieval-Augmented Generation (RAG) and agent pipelines.
Leading OCR Systems Covering Most Workloads in 2025
The six main OCR systems in 2025 each address different needs and constraints. This comparison focuses on suitability based on document volume, deployment options, language coverage, and compatibility with downstream AI frameworks rather than ranking them by a single metric.
Google Document AI
- Processes PDFs and images (scanned or digital) returning text with preserved layout, tables, key-value pairs, and selection marks.
- Includes handwriting recognition in 50 languages and can identify math expressions and font styles.
- Especially useful for financial statements, educational forms, and archival documents.
- Outputs structured JSON suitable for Vertex AI or any RAG system.
- Best chosen when data is already on Google Cloud or when layout preservation for later large language model (LLM) processing is critical.
AWS Textract
- Offers synchronous API for small documents and asynchronous API for large multipage PDFs.
- Extracts text, tables, forms, and signatures, returning results as related blocks.
"The goal is to show which system to use for a given document volume, deployment model, language set, and downstream AI stack."
Other systems such as Azure OCR, ABBYY, PaddleOCR, and DeepSeek OCR also provide strong OCR capabilities tailored for various environments and workloads but were not detailed here.
Author's summary: OCR technology in 2025 integrates complex layout retention, multi-language support, and AI pipeline compatibility, making system choice key depending on document type and deployment needs.
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