Import Files to MongoDB
in Minutes, Not Hours

FileToMongo batch imports 10+ file formats to MongoDB with speed and security. Process millions of rows locally, support cross-platform, CLI, and scheduled tasks for enterprise-level efficiency.

๐Ÿ“Š 10+ Supported Formats
โšก Millions of Rows/Minute
๐Ÿ”’ Local Secure Processing
๐ŸŒ Windows/Mac/Linux
Free 30-Day Trial Buy Now $59.95 or less

Supported File Formats

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CSV

CSV to MongoDB

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Excel

Excel to MongoDB

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TSV

TSV to MongoDB

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TXT

TXT to MongoDB

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JSON

JSON to MongoDB

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XML

XML to MongoDB

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SQL

SQL to MongoDB

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HTML

HTML to MongoDB

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RDF

RDF to MongoDB

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INI

INI to MongoDB

Powerful Enterprise-Grade Features

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Batch Import Capability

Import multiple files or entire folders to MongoDB collections in one click. Support recursive folder scanning and automatic collection mapping.

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Blazing Fast Performance

Optimized algorithm processes millions of rows in minutes. Handle GB-level files without memory limits, even for 100GB+ datasets.

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Local & Secure Processing

All data processing happens locallyโ€”no file uploads to cloud. Protect sensitive enterprise data with 100% privacy guarantee.

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Cross-Platform Support

Works seamlessly on Windows (32/64bit), Mac OS, and Linux (Debian/Ubuntu/Red Hat). Consistent experience across all operating systems.

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Command Line Interface

Automate imports with CLI support. Integrate with scripts and batch processes for hands-free data migration workflows.

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Scheduled Tasks

Set up daily/weekly scheduled imports. Automate routine data migration tasks without manual intervention.

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Save & Load Sessions

Save import configurations as sessions. Load and reuse them for repetitive tasks to save time on setup.

Save import configurations as sessions. Load and reuse them for repetitive tasks to save time on setup.

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Auto-Encoding Detection

Automatically detect file encoding (UTF-8, GBK, ISO-8859-1 etc.). Avoid garbled data during import.

3 Simple Steps to Import Files to MongoDB

1

Select Source Files

Choose single files, multiple files, or entire folders. Support drag & drop for quick selection.

2

Configure Import Settings

Map files to MongoDB collections, set encoding, and adjust advanced options as needed.

3

Start Import

Click "Import" and monitor progress in real-time. Get completed files in minutes.

What People Import

The data is still a spreadsheet

A CSV or Excel export that has to become documents - fields taken from the header row, encoding detected, and a preview of what will be written before it runs.

A folder full of one-table files

An export that produced one file per table, each heading for its own collection. Map the whole folder once and load it in a single run.

Twelve files, one collection

One file per month, per branch or per machine, with identical columns - appended into a single collection instead of imported a dozen times.

You already have mongoimport

Both are free and both work. The line is file formats, checking the mapping first, update/upsert instead of insert-only, and whole folders.

The AI app reads MongoDB

An internal assistant or search feature answers from a collection. The catalogue, policies and lists it should know about arrive as CSV or Excel - loaded as documents, offline and repeatable.

By file format: CSV to MongoDB, Excel to MongoDB. Other MongoDB tasks: MongoLoader, MongoToFile, DBToMongo - the full set is on the MongoDB tools page.

Frequently Asked Questions

How long does it take to import data to MongoDB? +

FileToMongo processes millions of rows in minutes. The exact speed depends on your hardware, file size, and MongoDB server performance. A 1GB CSV file with 10 million rows typically takes 5-10 minutes to import.

Is the data processing secure? +

Yes. All data processing happens locally on your computerโ€”no files or data are uploaded to external servers or the cloud. This ensures maximum security for sensitive enterprise data.

Does it support MongoDB Atlas? +

Yes. FileToMongo works with both local MongoDB instances and MongoDB Atlas (cloud). Simply enter the connection string for your Atlas cluster during setup, and the import will work seamlessly.

Can I schedule automatic imports? +

Absolutely. FileToMongo includes a task scheduler that lets you set up daily, weekly, or custom-scheduled imports. You can save your import configuration as a session and schedule it to run automatically.

What MongoDB versions are supported? +

FileToMongo supports MongoDB 3.0 and above, including the latest versions (7.x and 8.x). It's compatible with all major MongoDB editions (Community, Enterprise, Atlas).

Is technical support included with purchase? +

Yes. All purchases include free technical support via email.

How do I import a CSV file into MongoDB? +

Point FileToMongo at the CSV file and the target collection, check the detected field mapping, and choose insert, update or upsert. Existing collections can be updated in place instead of being loaded twice.

Can I import a whole folder of files into MongoDB? +

Yes. One file can go into one collection, several files into one collection, or every file in a folder into its own collection - the whole folder is processed in a single run.

What is the difference between FileToMongo and mongoimport? +

mongoimport is the official MongoDB command-line utility - ideal in a shell, limited to JSON and CSV. FileToMongo adds a GUI, Excel, XML, HTML and RDF input, a field mapping you can review first, update and upsert, folder-level batch import, a command line and scheduled tasks.

What Our Customers Say

"FileToMongo has transformed our data migration workflow. We used to spend hours importing CSV files to MongoDB manuallyโ€”now it takes minutes. The CLI support let us automate the entire process."

JD
John Doe

Data Engineer @ E-commerce Platform

"As a DevOps engineer, I need tools that integrate with our existing scripts. FileToMongo's CLI and session features make it perfect for our automated data pipeline. It's reliable and fast."

SS
Sarah Smith

DevOps Lead @ FinTech Startup

"We process large datasets daily, and FileToMongo handles our 50GB+ CSV files without breaking a sweat. The local processing gives us peace of mind about data security, which is crucial for our business."

MT
Michael Thompson

CTO @ Analytics Firm

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