Begin by logging into your CommCare account. Navigate to the "Data" section and select "Export Data." Choose the specific data types or forms you want to export. CommCare allows you to export data in various formats such as CSV or Excel. Select CSV for easier manipulation later. Download the exported file to your local system.

Open the exported CSV file using a spreadsheet application like Excel or Google Sheets. Review the data to ensure it is clean and structured correctly. Remove any unnecessary columns and ensure all required fields are present. Save the file ensuring it remains in CSV format for easy processing.

Install Typesense on your local machine by following the official Typesense installation guide. You can use Docker for a straightforward installation. Once installed, start the Typesense server by running the appropriate command (e.g., `docker run` if using Docker).

Before importing data, define a schema that matches the structure of your CommCare data. This includes specifying fields, field types, and any necessary indexing options. Create a JSON file to define this schema. For example:
```json
{
"name": "commcare_data",
"fields": [
{"name": "field1", "type": "string"},
{"name": "field2", "type": "int32"},
// Add additional fields as needed
]
}
```

Use the Typesense API to create a new collection based on your schema. Using a command-line tool like `curl`, send a POST request to the Typesense server to create this collection. Ensure you replace placeholders with your actual Typesense server URL and API key.
```bash
curl -X POST "http://localhost:8108/collections" \
-H "X-TYPESENSE-API-KEY: your_api_key" \
-H "Content-Type: application/json" \
-d @schema.json
```

With your CSV data prepared, convert it to JSON format. This can be done using a programming language like Python. Write a script that reads the CSV file and outputs JSON objects aligning with your Typesense schema. Here's a simple Python snippet:
```python
import csv
import json

csv_file = 'commcare_data.csv'
json_file = 'commcare_data.json'

with open(csv_file, mode='r') as file:
csv_reader = csv.DictReader(file)
data = [row for row in csv_reader]

with open(json_file, mode='w') as file:
json.dump(data, file)
```

Finally, use the Typesense API to import the JSON data. Send a POST request to the `/collections/{collectionName}/documents/import` endpoint. This request can handle bulk data import, ensuring that all your data from CommCare is loaded into Typesense efficiently.
```bash
curl -X POST "http://localhost:8108/collections/commcare_data/documents/import" \
-H "X-TYPESENSE-API-KEY: your_api_key" \
-H "Content-Type: application/json" \
--data-binary @commcare_data.json
```

By following these steps, you can effectively transfer data from CommCare to Typesense without using third-party connectors or integrations.