Stop writing fragile prompt wrappers, handling multi-modal latency, and parsing messy Markdown strings for OpenAI and Gemini. Chain your visual logic, define your JSON schema, and deploy a production-grade vision engine in 60 seconds.
No credit card required. Free $10 credit applies automatically upon email verification.
invoice_sample.pdf
Step 1
Extract all table data and metadata.
Step 2
Flag any anomalous fields or mismatch errors.
{
"status": "success",
"meta": {
"document_type": "invoice",
"confidence": 0.99
},
"extracted_data": {
"total": 1420.50,
"currency": "AED"
},
"compliance_flags": {
"is_tampered": false,
"review_required": false
}
}Vibe-Coder Launch Special: Sign up today and get $10 in production compute credits. Build, test, and deploy your first 3 vision microservices completely on us.
Building production-grade visual intelligence shouldn't mean managing your own Python execution environments, handling API rate limits, or fighting unstructured text responses.
Every time you want to add a new use case—whether it's parsing a complex PDF, detecting an object, or flagging an explicit image—your engineering team shouldn't have to spin up a new pipeline.
Single, massive prompts cause LLMs to hallucinate or miss critical details. Our platform lets you chain micro-prompts visually. Let Step 1 handle the extraction, Step 2 run the logic, and Step 3 execute the compliance checking.
Never write regex to strip out json wrappers from raw AI outputs again. Define your expected data schema natively in our canvas, and our middleware guarantees a clean, predictable, validated data payload delivered straight to your backend every single time.
Model performance and pricing change rapidly. Don't couple your application infrastructure to a single API. Switch the underlying processing engine from Gemini Pro to GPT-4o with a single click in your dashboard—zero code changes required at your end.
Get infinite horizontal scaling out of the box. We handle parallel inference routing, cold-start latency reduction, and multi-modal pipeline optimization so your engineering team doesn't maintain complex GPU orchestration or infrastructure.
Start prototyping on our blazing-fast, managed cloud infrastructure tonight. When your security, compliance, or legal teams demand strict data residency, don't worry—you won't have to rebuild a thing.
With our Bring Your Own Compute (BYOC) architecture, you can export the entire orchestration container and deploy it locally within your own secure perimeter. Drop in your own provisioned Azure OpenAI or Google Vertex AI endpoints, and keep 100% of your data inside your network.
import openai import pdfplumber # Parse messy multi-part files... # Handle asynchronous retries... # Write prompt template arrays... # Run complex regex to fix JSON... # Pray the format doesn't break... # Cache intermediate steps... # Debug production failures at 3am...
fetch('https://api.taed.dev/v1/engine', {
method: 'POST',
headers: {
'Authorization': `Bearer ${KEY}`
},
body: JSON.stringify({
pipelineId: "invoice_and_risk_check",
fileUrl: "https://assets.dev/inv_01.pdf"
})
}).then(res => res.json());Extract text from variable national identity cards, auto-verify data fields, and run tampering/forgery flags simultaneously.
Convert complex, multi-page financial statements, tables, and receipts into structured schemas without layout corruption.
Scan user-uploaded files for explicit content, analyze image contexts, count specific objects, and flag brand safety violations in a single pass.