To begin, log into your Smartsheets account and navigate to the sheet you want to export. Click on "File" in the top menu, then select "Export" and choose "Export to CSV." This will download your data in CSV format, which is a compatible format for data processing.

Open the downloaded CSV file using a spreadsheet program like Microsoft Excel or Google Sheets. Review the data to ensure it is clean and structured properly. Check for any missing values or inconsistencies and rectify them. Save the file once it's clean and ready.

If you haven't already set up Typesense, you need to install it. Visit the official Typesense documentation for your operating system to download and install the Typesense server. Ensure that your server is up and running by executing the `typesense-server` command and checking for any errors.

Create a schema that matches the structure of your CSV data. This schema will define how Typesense should store your data. Use a JSON format to specify fields, data types, and any additional indexing options. For example:
```json
{
"name": "example_collection",
"fields": [
{"name": "id", "type": "string"},
{"name": "name", "type": "string"},
{"name": "description", "type": "string"},
{"name": "created_at", "type": "int32"}
],
"default_sorting_field": "created_at"
}
```

Use the Typesense API to create a collection with the schema you defined. You can use `curl` or a programming language of your choice to make this API request. For example, using `curl`:
```bash
curl -X POST "http://localhost:8108/collections" \
-H "Content-Type: application/json" \
-d '{
"name": "example_collection",
"fields": [...],
"default_sorting_field": "created_at"
}'
```

Convert your CSV data into JSON format required by Typesense. You can write a script in Python or another language to read the CSV and output JSON. Here's a simple Python example:
```python
import csv
import json

csv_file_path = 'your_data.csv'
json_file_path = 'your_data.json'

data = []
with open(csv_file_path, newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
data.append(row)

with open(json_file_path, 'w') as jsonfile:
json.dump(data, jsonfile)
```

Finally, import the JSON data into your Typesense collection using the Typesense API. Again, you can use `curl` or a script to perform this action. Here's an example using `curl`:
```bash
curl -X POST "http://localhost:8108/collections/example_collection/documents/import" \
-H "Content-Type: application/json" \
--data-binary @your_data.json
```
Ensure the server is running and accessible. Check the response for any errors and verify that your data has been successfully imported into Typesense.

By following these steps, you can manually move your data from Smartsheets to Typesense without relying on third-party tools.