Merge remote-tracking branch 'origin/main'

Author: choinek

README.md

@@ -87,7 +87,7 @@ To have multiple tasks runing at once - for concurrent processing please run the
 celery -A main.celery worker --loglevel=info --pool=solo & # to scale by concurrent processing please run this line as many times as many concurrent processess you want to have running
 ```
 
-## Free online demo
+## Online demo
 
 To try out the application with our hosted version you can skip the Getting started and try out the CLI tool against our cloud:
 
@@ -105,6 +105,8 @@ export RESULT_URL=https://doctractor:Aekie2ao@api.doctractor.com/ocr/result/
 python client/cli.py ocr_upload --file examples/example-mri.pdf --ocr_cache --prompt_file=examples/example-mri-remove-pii.txt
 ```
 
+[Demo Source code](https://github.com/CatchTheTornado/pdf-extract-api-demo)
+
 **Note:** In the free demo we don't guarantee any processing times. The API is Open so please do **not send any secret documents neither any documents containing personal information**, If you do - you're doing it on your own risk and responsiblity.
 
 <img src="screenshots/demo.png" alt="Demo screenshot" />
@@ -312,6 +314,35 @@ python client/cli.py clear_cache
 python llm_generate --prompt "Your prompt here"
 ```
 
+## API Clients
+
+You might want to use the decdicated API clients to use `pdf-extract-api`
+
+### Typescript
+
+There's a dedicated API client for Typescript - [pdf-extract-api-client](https://github.com/CatchTheTornado/pdf-extract-api-client) and the `npm` package by the same name:
+
+```bash
+npm install pdf-extract-api-client
+```
+
+Usage:
+
+```js
+import { ApiClient, OcrRequest } from 'pdf-extract-api-client';
+const apiClient = new ApiClient('https://api.doctractor.com/', 'doctractor', 'Aekie2ao');
+const formData = new FormData();
+formData.append('file', fileInput.files[0]);
+formData.append('prompt', 'Convert file to JSON and return only JSON'); // if not provided, no LLM transformation will gonna happen - just the OCR
+formData.append('strategy', 'marker');
+formData.append('model', 'llama3.1')
+formData.append('ocr_cache', 'true');
+
+apiClient.uploadFile(formData).then(response => {
+    console.log(response);
+});
+```
+
 ## Endpoints
 
 ### OCR Endpoint via File Upload / multiform data