OCR AI API for Developers
Integrate OCR functionalities into your applications through AI/ML API
AI-Driven OCR API: Cutting-Edge Models for Your Dev Projects
OpenAI
Chat GPT 4o
GPT 4o is a powerful language model known for its diverse applications in optical character recognition (OCR) and PDF document processing. It enhances document workflows with its ability to understand, summarize, and analyze text.
GPT 4o: is designed as an all-encompassing model that excels in various OCR applications.
GPT 4o mini: is a more compact version of the GPT-4o model, optimized for scenarios where computational resources are limited but high performance is still required.
Context-Based Error Correction
Uses context understanding to accurately identify and correct OCR mistakes.
Improves Handwriting Recognition
Leverages natural language processing to better interpret handwritten text.
Enhances Document Classification
Automatically categorizes documents based on content after OCR processing.
Enhances accuracy
Significantly reduces errors, ensuring precise data extraction and streamlined workflows.
Advanced Analysis Capabilities
Generates concise summaries, extracting key information for quick insights.
Supports Multiple Languages
Facilitates seamless processing of diverse document types and languages.
Anthropic
Claude 3
Claude 3 family, the latest AI models from Anthropic, enhances OCR applications by improving accuracy in text recognition, especially in educational, healthcare, and business environments.
Claude 3 Haiku: The fastest and most compact model, designed for near-instant responses.
Claude 3 Sonnet: Can process and analyze both text and image data.
Claude 3 Opus: Achieved over 99% accuracy and identified evaluation flaws.
Enhances Document Indexing
Facilitates efficient organization and retrieval of information from vast archives.
Supports Accurate Data Extraction
Precisely extracts relevant data points, ensuring comprehensive analysis and insights.
Reduces Errors in Document Processing
Enhances data integrity, ensuring reliable and error-free document workflows.
Anthropic
Claude 3.5 sonnet
Claude 3.5, developed by Anthropic, offers significant advancements in enhancing OCR applications through its robust data extraction, document analysis, and error correction capabilities.
Improves OCR Accuracy
Utilizes advanced algorithms to significantly enhance the precision of text recognition.
Industry-Specific Solutions
Tailors OCR capabilities to meet the unique needs of various industries.
Supports Script Recognition
Accurately identifies and interprets diverse scripts, improving overall OCR performance.
API Endpoints
Image-To-Text (Vision)
API only support BASE64 String as Image input.
Explore Examples and Test the API
import requests
url = "https://api.aimlapi.com/vision"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
payload = {
"model": "claude-3-5-sonnet-20240620",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/jpeg",
"data": "Image converted to Base64"
response = requests.post(url, json=payload, headers=headers)
print(response.json())
PRO
Gemini 1.5 Pro
Gemini 1.5 Pro is Google's advanced multimodal AI model designed for complex reasoning tasks.
Content generation
Visual information analysis
Multimodal question answering
Long-form content analysis
Enhanced context
Gemini 1.5 Pro can process up to 2 million tokens, enabling it to analyze large volumes of data like lengthy documents, books, codebases, and videos
Latency
The latency of the Gemini 1.5 Pro model is approximately 0.85 to 0.86 seconds to receive the first token (time to first token, TTFT)
Accuracy
Gemini 1.5 Pro has a win-rate of 87.9% across 33 benchmarks, significantly outperforming its predecessor, Gemini 1.0 Pro
API Endpoints
Optical Character Recognition
Performs optical character recognition (OCR) to extract text from images, enabling text-based analysis, data extraction, and automation workflows from visual data. Explore Examples and Test the API
const response = await fetch('https://api.aimlapi.com/ocr', {
method: 'POST',
headers: {
"Content-Type": "application/json"
},
body: JSON.stringify({
"document": "https://example.com"
}),
});
const data = await response.json();import requests
response = requests.post(
"https://api.aimlapi.com/vision",
headers={"Content-Type": "application/json"},
json={
"image": {
"source": {
"imageUri": "text"
}
},
"features": [
{
"type": "FACE_DETECTION"
}
]
}
)
data = response.json()Optical Feature Recognition
This feature allows you to specify various elements such as mood, style, and instrumentation, giving you complete creative control over the music production process.
Explore Examples and Test the API
Key Use Cases
Discover how our OCR AI API transforms document processing in healthcare, finance, legal, and education.
Education and Library Services
Digitizes historical documents and books for better access and search-ability. Enhances indexing systems for lecture videos.
Healthcare and Radiology
Improves OCR accuracy for handwritten medical records. Extracts and analyzes information from radiology reports.
Business and CRM
Automates data entry from business cards, invoices, and other documents. Analyzes customer feedback from handwritten forms.
Financial Services
Processes financial statements and contracts. Detects anomalies and potential fraud in scanned documents.
Research and Data Analysis
Enables comprehensive text mining and analysis. Extracts data from charts and graphs in scientific literature.
Research and Development
Analyzes large datasets of OCR results to identify error patterns. Processes and analyzes OCR-extracted text from scientific papers.
Medical Diagnosis Support
Analyzes complex clinical cases, potentially assisting in interpreting medical documents and images.
Rapid Digitization of Specimens
Assists in digitizing and publishing specimens for institutions with limited resources.
Document Summarization
Generates concise summaries, comparison tables, timelines, keyword lists, summary highlights, and information cards.