fixes

Author: nicoloboschi

README.md

@@ -4,6 +4,9 @@
 
 Vectorize Iris is an advanced document extraction service that uses AI to accurately extract text, structure, and metadata from PDFs, images, and other document formats. Unlike traditional OCR tools, Iris understands document structure, preserves formatting, and can extract specific information using natural language instructions.
 
+Documentation: [docs.vectorize.io](https://docs.vectorize.io/build-deploy/extract-information/extraction-tester/#vectorize-iris)
+
+
 ## Why Iris?
 
 Traditional text extraction tools struggle with:
@@ -36,7 +39,7 @@ print(result.text)
 
 ### 📦 Node.js/TypeScript API
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 
 const result = await extractTextFromFile('document.pdf');
 console.log(result.text);
@@ -60,7 +63,7 @@ pip install vectorize-iris
 
 **Node.js:**
 ```bash
-npm install vectorize-iris
+npm install @vectorize-io/iris
 ```
 
 **Rust CLI:**

nodejs-api/README.md

@@ -5,7 +5,7 @@ Simple TypeScript library for extracting text from documents using Vectorize Iri
 ## Installation
 
 ```bash
-npm install vectorize-iris
+npm install @vectorize-io/iris
 ```
 
 Set your credentials:
@@ -17,7 +17,7 @@ export VECTORIZE_ORG_ID="your-org-id"
 ## Basic Text Extraction
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 
 const result = await extractTextFromFile('document.pdf');
 console.log(result.text);
@@ -34,7 +34,7 @@ Tables, lists, and other elements are properly extracted.
 ## Extract from Buffer
 
 ```typescript
-import { extractText } from 'vectorize-iris';
+import { extractText } from '@vectorize-io/iris';
 import * as fs from 'fs';
 
 const fileBuffer = fs.readFileSync('document.pdf');
@@ -51,8 +51,8 @@ Extracted 5536 characters
 ## Chunking for RAG
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
-import type { ExtractionOptions } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
+import type { ExtractionOptions } from '@vectorize-io/iris';
 
 const options: ExtractionOptions = {
   chunkSize: 512
@@ -80,7 +80,7 @@ The training process involves adjusting weights...
 ## Custom Parsing Instructions
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 
 const result = await extractTextFromFile('report.pdf', {
   parsingInstructions: 'Extract only tables and numerical data, ignore narrative text'
@@ -106,7 +106,7 @@ West      | $380K  | +10%
 ## Inferred Metadata Schema
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 
 const result = await extractTextFromFile('invoice.pdf', {
   inferMetadataSchema: true
@@ -133,7 +133,7 @@ console.log(JSON.stringify(metadata, null, 2));
 ```typescript
 import express from 'express';
 import multer from 'multer';
-import { extractText } from 'vectorize-iris';
+import { extractText } from '@vectorize-io/iris';
 import * as fs from 'fs';
 
 const app = express();
@@ -179,7 +179,7 @@ curl -F "file=@document.pdf" http://localhost:3000/extract
 ## Batch Processing
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 import * as fs from 'fs/promises';
 import * as path from 'path';
 
@@ -215,7 +215,7 @@ Processing report-q3.pdf...
 ## Parallel Processing
 
 ```typescript
-import { extractTextFromFile } from 'vectorize-iris';
+import { extractTextFromFile } from '@vectorize-io/iris';
 
 const files = ['doc1.pdf', 'doc2.pdf', 'doc3.pdf'];
 
@@ -238,7 +238,7 @@ doc3.pdf: 2156 chars
 ## Error Handling
 
 ```typescript
-import { extractTextFromFile, VectorizeIrisError } from 'vectorize-iris';
+import { extractTextFromFile, VectorizeIrisError } from '@vectorize-io/iris';
 
 try {
   const result = await extractTextFromFile('document.pdf');
@@ -264,7 +264,7 @@ import type {
   ExtractionOptions,
   ExtractionResultData,
   MetadataExtractionStrategySchema
-} from 'vectorize-iris';
+} from '@vectorize-io/iris';
 
 // Type-safe options
 const options: ExtractionOptions = {

nodejs-api/package.json

@@ -1,5 +1,5 @@
 {
-  "name": "vectorize-iris",
+  "name": "@vectorize-io/iris",
   "version": "0.1.0",
   "description": "Simple text extraction from files using Vectorize Iris",
   "main": "dist/index.js",

nodejs-api/tests/index.test.ts

@@ -1,5 +1,5 @@
 /**
- * Unit tests for vectorize-iris module
+ * Unit tests for @vectorize-io/iris module
  */
 
 import * as fs from 'fs/promises';