Looking for CSV To Database APIs to convert your CSV file into some other formats like XLS, PDF, etc? Then, your search ends here. Here, we have something to help you out.
Data importing and exporting is an essential part of all business and there is no denial in the fact that we all look for a convenient way to convert our data into the required format. One of the most required formats is CSV( Comma Separated Value) which is used to store the data into a tabular format such as a spreadsheet, and database.
Now, you might be thinking of using some software that can help you to convert your data to or from CSV format to various other formats like Microsoft Excel, Open document format, PDF, TSV, JPG, etc. But, at this point, we’ll suggest you try some CSV converter API for this instead of wasting a huge time & money on software. APIs are easy to handle which smooth the whole process, save lots of time and provides accuracy in the work.
Further, you can easily import, export, and convert files into the required format. Keeping the same in mind, here, in this post, we have listed the Best CSV To Database APIs available in the market. Have a look at them & choose the best one according to your requirements.
Csv To Database API
1. PyExcel – FileFormat






PyExcel is an open-source single Python API that supports working with several popular spreadsheet formats. It enables software programmers to read, manipulate and write data in CSV, ODS, XLS, XLSX, and XLSM file formats. The API greatly focused on data rather than file formats.
Further, it is very easy to get or export data from MS Excel files. Mostly it requires one-liner code to get data from the excel files. There is only one API to read and write data in various excel file formats. The library helps web developers to handle most of the excel file formats by providing a common programming interface.
Features
Read & update spreadsheet | Generate spreadsheets | Split workbook |
Merge files | Insert comments | Extract sheet from a workbook |
Merge rows and cells | Style column & row | Add or remove a column from a sheet |
Data filtering | Manipulate & write data in CSV, ODS, XLS, XLSX, & XLSM file formats |
Pricing
Free Trial - Not available
- PyExcel by FileFormat has not provided pricing information. To know the pricing, contact the vendor.
2. Gspread – FileFormat






Gspread API is an open-source Python implementation for Google Sheets. The library enables computer programmers to create, open and modify a spreadsheet file from their own Python applications.
It supports several important features like creating a new spreadsheet, selecting & sharing a share a spreadsheet, creation & deletion of worksheet, getting a cell value, getting values from a column as well as from a sheet row, searching & updating a cell value, getting value from a cell as a list, etc.
Features
New spreadsheets | Edit spreadsheets | Add/delete sheet |
Get cell data | Select cells | Merging cells |
Get column value | Searching cells | Update cells |
Supports formates like TXT, XML, CSV, HTML |
Pricing
Free Trial - Not available
- Gspread by FileFormat has not provided pricing information. To know the pricing, contact the vendor.
3. PyExcelerate – FileFormat






PyExcelerate enables software programmers to read and write Excel XLSX spreadsheet files. It is also known as an accelerated Excel XLSX writing library for Python because it is by far the fastest option for Python spreadsheet solutions. This API creates the 10,000 rows and 10 columns in just 0.17 seconds.
Further, it supports writing bulk data, writing cell data, selecting cells by name, merging cells, styling cells, styling ranges, styling rows, styling columns, setting row heights and column widths and more.
Features
Supports OOXML spreadsheet format | Export data to common file formats like HTML, TXT, CSV | Create spreadsheets |
Read spreadsheets | Writing bulk data | Writing cell data |
Selecting cells | Merging & styling cells | Styling ranges & rows |
Read larger files | Less memory usage | Add table |
Insert comments | Hyperlinks support |
Pricing
Free Trial - Not available
- PyExcelerate by FileFormat has not provided pricing information. To know the pricing, contact the vendor.
4. Apache POI HSSF – FileFormat






Apache POI HSSF is a pure Java implementation of the Excel '97(-2007) file format (BIFF8). The free open-source API provides features for creating, reading, modify and writing Excel XLS spreadsheets. Further, in order to modify a spreadsheet data, the user model API can be used. It is important to know that the user model system has a higher memory footprint than the low-level event user model, but has the major advantage of being much simpler to work with.
Besides this, it also provides great support for additional excel features such as working with sheets, formulas, creating cell styles by filling colors and borders, fonts, headers & footers, shapes, data validations, images, hyperlinks & many more.
Features
Create new worksheet | Worksheet to CSV | Copy sheet |
Re-order sheets | Add header, footers, & images | Add data in cells |
Create workbook | Getting cell contents | Add hyperlinks worksheet |
Create charts worksheet | Create pivot tables | Worksheet to HTML |
Handle rows, columns & formatting | Auto-fit row/column | Cell alignment |
Hide/unhide cells | Insert cell comments | Iterate rows & columns |
Merge cells | Split panes | Freeze panes |
Create date cell | Create cell types | New line in cells |
Work with fonts, colors, & borders |
Pricing
Free Trial - Not available
- Apache POI HSSF by FileFormat has not provided pricing information. To know the pricing, contact the vendor.
Final Words on CSV To Database APIs-
Here, we have listed 5 Best CSV To Database APIs 2022. Using these conversion APIs, you can easily convert your data into the required format like XML, PDF, TXT, JPG, Excel, etc from CSV or vice versa. It will definitely smooth work at your end. So, just integrate it into your website or application in the desired programming language like PHP, Python, GO, etc, and you’re good to go.
For any more queries, get in touch with us. We’ll be happy to hear from you.