We reviewed the top OCR and document extraction tools to find the best Tesseract alternative and here's what we found.
Lido is the best Tesseract alternative for teams looking for higher OCR accuracy, structured data extraction, and reliable handling of complex layouts like tables and multi-column documents without image preprocessing or custom parsing code.
Done wrestling with Tesseract?
Extract structured data without writing code.
50 free pages. No credit card required.
Lido replaces Tesseract's raw text output with structured data extraction that understands document layouts. No preprocessing, no custom parsing code, no pipeline maintenance.
Teams that outgrow Tesseract use Lido to extract fields, tables, and line items from invoices, purchase orders, contracts, and any other document type directly into spreadsheets or JSON.
Key Features
- ✓ Structured extraction from any document type on first upload
- ✓ 99.5 to 100% accuracy on invoices, POs, and multi-page documents
- ✓ Output to Excel, Google Sheets, CSV, JSON, or API
- ✓ No image preprocessing or code required
- ✓ Tables, line items, and key-value pairs extracted natively
- ✓ Handles scanned documents, photos, and handwritten text
Pros
- ✓ Structured output versus Tesseract's raw text
- ✓ No code, no preprocessing, no pipeline to maintain
- ✓ Works on complex layouts Tesseract struggles with
- ✓ Business users can run extractions without developers
Cons
- ✗ Not a library you can embed in your own software
- ✗ Requires internet connection
Verdict
Lido is the best Tesseract alternative for teams that need structured data from documents without building and maintaining a custom OCR pipeline.
Lido vs Tesseract Comparison
Here's how Lido and Tesseract compare across the features that matter most for OCR and document extraction.
SetupSign up and upload, no codeInstall library, write code, configure preprocessing
OutputStructured fields, tables, line itemsRaw text only, requires custom parsing
Image preprocessingHandled automaticallyManual deskew, binarize, denoise required
Complex layoutsTables, multi-column, headers extracted nativelyStruggles with tables, columns, and mixed layouts
Accuracy on scans99.5 to 100% on invoices and POsVaries widely based on image quality
New document typesWorks on first uploadRequires new parsing code for each type
Technical skills neededNonePython or C++ programming required
MaintenanceNoneOngoing code maintenance, dependency updates
Batch processingMixed formats in one uploadCustom scripting for each batch workflow
Bottom line
Choose Tesseract if:
- You need a free OCR library to embed in your own software
- You only need raw text output, not structured data
Choose Lido if:
- You need structured data, not raw text dumps
- You want accurate extraction without writing code
- Your team processes invoices, POs, or financial documents
- You need results in spreadsheets or JSON, not plain text
- You do not want to maintain a custom OCR pipeline
2. Google Document AI
Google Cloud's document processing service with pre-trained AI processors.
Google Document AI is Google Cloud's document processing service. It offers pre-trained processors for invoices, receipts, and IDs with better accuracy than Tesseract on complex layouts, but requires GCP knowledge.
Key Features
- ✓ High-accuracy OCR with entity extraction
- ✓ Pre-trained processors for common document types
- ✓ Custom processor training available
- ✓ Free tier for testing
Pros
- ✓ Much higher accuracy than Tesseract on complex layouts
- ✓ No image preprocessing needed
Cons
- ✗ Requires Google Cloud Platform setup
- ✗ Still requires code to integrate
- ✗ Custom processors need training data
Verdict
Google Document AI is a significant accuracy upgrade over Tesseract but still requires engineering resources. A better OCR engine, not a simpler workflow.
3. Amazon Textract
AWS's cloud-based OCR and document analysis API.
Amazon Textract is AWS's document analysis API that detects text, tables, and form fields. Better table handling than Tesseract but requires AWS infrastructure and programming knowledge.
Key Features
- ✓ OCR with table and form field detection
- ✓ Expense and identity document analysis
- ✓ AWS ecosystem integration
- ✓ High scalability
Pros
- ✓ Better table extraction than Tesseract
- ✓ Scales with AWS infrastructure
Cons
- ✗ Requires AWS account and programming
- ✗ No user interface for non-technical users
- ✗ Costs add up at high volume
Verdict
Amazon Textract improves on Tesseract's table handling but still requires engineering resources. A cloud API upgrade, not a no-code replacement.
4. Azure AI Document Intelligence
Microsoft's cloud document processing service for the Azure ecosystem.
Azure AI Document Intelligence is Microsoft's cloud-based document processing service with pre-built models for invoices, receipts, and IDs. Stronger than Tesseract but requires Azure infrastructure.
Key Features
- ✓ Pre-built models for invoices, receipts, and IDs
- ✓ Custom model training with labeled data
- ✓ Microsoft ecosystem integration
- ✓ Layout analysis and table extraction
Pros
- ✓ Much better accuracy than Tesseract
- ✓ Native Microsoft ecosystem integration
Cons
- ✗ Requires Azure subscription and technical knowledge
- ✗ No interface for business users
- ✗ Custom models need labeled training data
Verdict
Azure AI Document Intelligence is a solid cloud upgrade from Tesseract for Microsoft shops. Still requires developers to implement and maintain.
5. Nanonets
AI document processing platform with pre-built models and no-code workflows.
Nanonets is an AI document processing platform with pre-built models and a no-code interface. A step up from Tesseract for teams that want to stop writing parsing code.
Key Features
- ✓ Pre-built models for invoices and receipts
- ✓ Custom model training with your data
- ✓ No-code workflow builder
- ✓ API and Zapier integration
Pros
- ✓ No coding required for basic use
- ✓ Pre-built models reduce setup time
Cons
- ✗ Custom document types require model training
- ✗ Accuracy depends on training data quality
- ✗ Can get expensive at volume
Verdict
Nanonets removes the coding requirement but still needs model training for custom documents. Less hands-off than Lido for diverse document types.
6. EasyOCR
Open-source Python OCR library with 80+ language support.
EasyOCR is an open-source Python OCR library that supports 80+ languages. Easier to set up than Tesseract with better accuracy on some scripts, but still outputs raw text.
Key Features
- ✓ 80+ language support including non-Latin scripts
- ✓ Deep learning-based text detection
- ✓ Simple Python API
- ✓ GPU acceleration support
Pros
- ✓ Easier setup than Tesseract
- ✓ Better on non-Latin scripts and handwriting
Cons
- ✗ Still outputs raw text, no structured extraction
- ✗ Slower than Tesseract without GPU
- ✗ Requires Python programming
Verdict
EasyOCR is an easier open-source OCR library than Tesseract but shares the same fundamental limitation: raw text output with no document understanding.
7. docTR
Open-source deep learning OCR library by Mindee.
docTR is an open-source document text recognition library by Mindee that combines text detection and recognition using deep learning. More modern architecture than Tesseract.
Key Features
- ✓ Deep learning text detection and recognition
- ✓ TensorFlow and PyTorch support
- ✓ Word-level and line-level output with coordinates
- ✓ Open-source with active development
Pros
- ✓ More accurate than Tesseract on rotated and noisy text
- ✓ Modern deep learning architecture
Cons
- ✗ Still requires custom code for structured extraction
- ✗ Smaller community than Tesseract
- ✗ Needs GPU for reasonable performance
Verdict
docTR is a more modern OCR engine than Tesseract but still just gives you text. For structured document extraction, you still need to build everything on top.
Getting Started with Lido
Most teams complete their first extraction in under five minutes.
Step 1. Sign up for free at lido.app. No credit card required. You get 50 pages to test.
Step 2. Upload the documents you currently process with Tesseract. Invoices, receipts, contracts, or any document type.
Step 3. Describe what to extract in plain English. No code, no preprocessing, no regex patterns.
Step 4. Compare the results. Check structured output against your Tesseract pipeline and note how long setup took versus your custom code.
Skip the preprocessing pipeline
Upload a document. Get structured data back.
No code, no image cleanup, no credit card.
Frequently Asked Questions
What is the best Tesseract alternative?
Lido is the best Tesseract alternative for teams that need structured data extraction from documents without writing code. Tesseract outputs raw text that requires custom parsing. Lido extracts structured fields, tables, and line items directly into spreadsheets or JSON.
Is Tesseract OCR still maintained?
Tesseract is maintained as an open-source project under Google's sponsorship, but development has slowed. The last major release was version 5. For production document processing, most teams find they need to build significant infrastructure around Tesseract to handle preprocessing, error correction, and structured output.
Why is Tesseract OCR inaccurate on my documents?
Tesseract struggles with low-resolution scans, skewed images, complex layouts, tables, and multi-column documents. It requires image preprocessing like deskewing, binarization, and noise removal to achieve acceptable accuracy. Lido handles these challenges automatically with no preprocessing required.
Can Lido replace a custom Tesseract pipeline?
Yes. Lido replaces the entire Tesseract pipeline including image preprocessing, OCR, text parsing, and output formatting. Upload a document, describe what to extract, and get structured data in minutes. No code, no preprocessing, no regex parsing.
Does Tesseract extract tables and structured data?
Tesseract outputs plain text with no understanding of document structure. Extracting tables, line items, or key-value pairs from Tesseract output requires custom code. Lido understands document structure natively and extracts tables and fields into organized columns automatically.
Is Tesseract good for invoice processing?
Tesseract can read text from invoices but does not understand invoice structure. You need custom code to parse vendor names, amounts, line items, and dates from raw text output. Lido extracts all invoice fields with 99.5 to 100% accuracy on the first upload, with no code required.
%20(1).svg)
.png){kind=small}
