First, go to your Airtable base and select the table you want to export. Click on the "View" dropdown and choose "Download CSV." This will export your table data into a CSV format, which is easy to manipulate and import into other applications.

Open the downloaded CSV file in a spreadsheet application like Excel or Google Sheets. Review the data to ensure that it is correctly formatted. Make any necessary adjustments, such as renaming columns or changing data types, to match the schema you plan to use in Typesense.

If you haven't already, set up a Typesense server. You can do this by downloading the Typesense binary from the official website, then running it on your machine or server with the command `./typesense-server --data-dir /path/to/data`. Make sure the server is running and accessible.

Create a schema for your Typesense collection by defining the fields and their types. This can be done using the Typesense API. Use the following JSON format as a template and modify it to suit your CSV data structure:

```json
{
"name": "your_collection_name",
"fields": [
{"name": "field1", "type": "string"},
{"name": "field2", "type": "int32"},
// Add fields as necessary
]
}
```

Use a tool like Postman or cURL to send a POST request to `http://localhost:8108/collections` with the above schema.

Convert your CSV data into JSON, as Typesense works with JSON documents. You can do this using a script in Python or another programming language. For example, use Python's `csv` and `json` libraries to read the CSV and write each row as a JSON object.

Once you have your JSON data, you need to index it in Typesense. Use a script to iterate over each JSON object and send it to Typesense using the API. You can use a POST request to `http://localhost:8108/collections/your_collection_name/documents/import` with the JSON data.

After uploading your data, verify that it has been indexed correctly. You can do this by sending a GET request to `http://localhost:8108/collections/your_collection_name/documents` and checking the returned results. Ensure that the data matches what you expect in terms of structure and content.

By following these steps, you should be able to manually move data from Airtable to Typesense without the use of third-party connectors or integrations.