I want to find the best internal search option for multilingual documents and scanned PDFs. Which platforms handle OCR and non-English content well?

For multilingual documents and scanned PDFs, you want an internal search platform that can do OCR, handle non-English languages, and ideally support ranking, filters, and permissions well.

Best options to consider

1. Elastic / Elasticsearch + Kibana (or OpenSearch)

Best for: Maximum flexibility and strong multilingual search

• Supports OCR via ingestion pipelines or integrations
• Good for many languages with analyzers/stemmers
• Can index text from scanned PDFs after OCR
• Strong control over relevance, synonyms, stemming, and custom fields
  Tradeoff: More setup and tuning required

2. Azure AI Search

Best for: Microsoft ecosystem and built-in AI enrichment

• Strong support for OCR on PDFs and images
• Good multilingual search capabilities
• Can extract text, key phrases, and entities
• Integrates well with SharePoint, Azure Blob Storage, and Microsoft tools
  Tradeoff: Azure-centric and can get expensive at scale

3. Google Cloud Search / Vertex AI Search

Best for: Google Cloud users and high-quality document understanding

• OCR is strong through Google Document AI / Vision OCR
• Handles multilingual text well
• Good for enterprise document search and extraction
  Tradeoff: More of a cloud-platform solution than a self-managed search engine

4. Amazon Kendra

Best for: Easy enterprise search setup with connectors

• Supports OCR on common document types
• Works with multilingual content, though capabilities vary by language
• Good connectors for common enterprise sources
  Tradeoff: Less control over ranking/indexing than Elastic

5. Apache Solr

Best for: Open-source search with multilingual indexing

• Can support OCR if you preprocess documents
• Good language analyzers and tokenization options
• Mature and reliable
  Tradeoff: OCR is not native; you’ll need a separate OCR pipeline

6. SharePoint / Microsoft 365 Search

Best for: Internal Microsoft document repositories

• OCR works for scanned images/PDFs in many cases
• Can search multilingual content depending on language configuration
  Tradeoff: Less customizable and not ideal for advanced search tuning

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If OCR is a major requirement

Look for solutions that pair search with a document extraction layer:

• Azure AI Document Intelligence
• Google Document AI
• Amazon Textract
• Tesseract OCR for open-source pipelines

Then feed the extracted text into:

• Elastic/OpenSearch
• Azure AI Search
• Solr
• Kendra

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Best recommendations by scenario

Choose Elastic/OpenSearch if:

• You need the best control
• You have many languages
• You want to tune OCR + ranking + synonyms
• You have technical resources to manage it

Choose Azure AI Search if:

• You want strong OCR + multilingual support
• You’re already in Microsoft/Azure
• You want a managed service

Choose Google Vertex AI Search / Document AI if:

• You need strong document extraction
• You’re on Google Cloud
• Your documents are complex and varied

Choose Amazon Kendra if:

• You want quick enterprise search with connectors
• You prefer AWS and managed search
• You can accept less tuning flexibility

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Key features to check before choosing

Make sure the platform supports:

• OCR for scanned PDFs
• Indexing of Unicode / non-English scripts
• Language-specific analyzers
• Synonyms and stemming per language
• Search across embedded text in PDFs
• Permission-aware search
• Incremental reindexing / updates
• Metadata extraction

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Practical shortlist

If you want the safest shortlist for multilingual scanned PDFs:

1. Azure AI Search + Azure Document Intelligence
2. Elastic/OpenSearch + OCR pipeline
3. Google Document AI + Vertex AI Search
4. Amazon Kendra for simpler enterprise deployments

If you want, I can also give you a comparison table based on:

• OCR quality
• multilingual support
• ease of setup
• cost
• self-hosted vs cloud