# Connect Amberscript to Nanonets OCR

When **Job Finished** fires in [Amberscript](https://apiant.ai/connections/amberscript), your agent runs **Add training images by file** in [Nanonets OCR](https://apiant.ai/connections/nanonets-ocr). Describe the whole flow and it is built, tested on every scenario and kept running.

Amberscript **1** trigger Amberscript **9** actions Nanonets OCR **8** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Amberscript and Nanonets OCR to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Amberscript can start in Nanonets OCR

- When **Job Finished** in Amberscript then **Add training images by file** in Nanonets OCR
- When **Job Finished** in Amberscript then **OCR With File** in Nanonets OCR

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Amberscript and Nanonets OCR

## Triggers and actions 1 trigger · 17 actions

- Trigger

**Job Finished**

Triggers when a job has finished on our platform.

- Action

**Add glossary**

Create a new glossary of terms that can be referenced by glossaryId on job upload for improved transcription accuracy.

- Action

**Create New Job**

This action creates a new job on the Amberscript platform.

- Action

**Delete glossary**

Delete an existing glossary.

- Action

**Delete job**

Delete a transcription job.

- Action

**Get job**

Retrieve the status/details of a transcription job.

- Action

**Get job transcript**

Download a finished job's transcript/subtitles in a chosen export format.

- Action

**List glossaries**

List all glossaries defined on the account (used to supply glossaryId when uploading a job).

- Action

**List jobs**

List all transcription jobs for the account.

- Action

**Update glossary**

Update an existing glossary's terms.

- Action

**Add training images by file**

Upload training images from local files.

- Action

**Add training images by URL**

Upload training images by URLs.

- Action

**OCR With File**

Uses Nanonets OCR to extract text

- Action

**OCR With File (Asynchronous)**

Uses Nanonets OCR to extract text asynchronously. Results will appear via the trigger

- Action

**OCR With File (Tables Included)**

Uses Nanonets OCR to extract text including line items. Results will appear via the trigger

- Action

**OCR With File (Tables Included) - Document Level Response**

Uses Nanonets OCR to extract text including line items. Results will appear via the trigger

- Action

**OCR With URL**

Sync prediction for image/document URLs.

- Action

**OCR With URL (Asynchronous)**

Async prediction for public file URLs.

## Each app on its own

- [ **Amberscript** Our services allow you to create text and subtitles from audio or video, either automatically and perfected...](https://apiant.ai/connections/amberscript)
- [ **Nanonets OCR** Nanonets OCR provides intelligent information extraction on any document or image](https://apiant.ai/connections/nanonets-ocr)

Reviews

## What our customers say

## More from Amberscript

- [ **Amberscript to Ontraport** Ontraport is an all-in-one CRM, marketing automation, and e-commerce platform.](https://apiant.ai/connect/amberscript-to-ontraport)
- [ **Amberscript to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amberscript-to-hubspot)
- [ **Amberscript to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amberscript-to-salesforce)
- [ **Amberscript to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amberscript-to-slack)
- [ **Amberscript to Google Sheets** Google Sheets](https://apiant.ai/connect/amberscript-to-google-sheets)
- [ **Amberscript to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amberscript-to-gmail)

## More into Nanonets OCR

- [ **HubSpot to Nanonets OCR** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-nanonets-ocr)
- [ **Salesforce to Nanonets OCR** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-nanonets-ocr)
- [ **Slack to Nanonets OCR** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-nanonets-ocr)
- [ **Google Sheets to Nanonets OCR** Google Sheets](https://apiant.ai/connect/google-sheets-to-nanonets-ocr)
- [ **Gmail to Nanonets OCR** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-nanonets-ocr)
- [ **Google Calendar to Nanonets OCR** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-nanonets-ocr)

Questions

## Amberscript and Nanonets OCR, answered

###

### What can start an automation from Amberscript?

Any of Amberscript's 1 trigger in the catalog, including Job Finished. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Nanonets OCR when something happens in Amberscript?

Any of Nanonets OCR's 8 actions, including Add training images by file, Add training images by URL, OCR With File and OCR With File (Asynchronous). Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Nanonets OCR to Amberscript?

Nanonets OCR has no triggers in the catalog today, so automations start in Amberscript. If you need the other direction, ask: your agent reads Nanonets OCR's API documentation and adds it.

###

### Do I have to build a connector for Amberscript or Nanonets OCR?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
