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Customer Stories

Scaling AI: How Grepsr Helped Improve Speech Recognition

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Overview

A leading AI provider specializing in corporate efficiency solutions approached Grepsr with a unique challenge: they needed to collect large-scale video data from a popular video-sharing web platform to train their multimodal AI system for advanced speech recognition.

The initial request was straightforward—extract metadata and transcriptions from 1M videos, covering diverse topics and contexts to create a rich dataset for their AI models.

How Grepsr Helped Improve Speech Recognition

Key points

The client needed metadata and transcriptions from 1M videos (from a popular video-sharing web platform) to train their multimodal AI system for speech recognition.
As the project evolved, the client required full video downloads for over 500K videos, adding a significant challenge in handling large-scale, bandwidth-intensive data extraction.
Grepsr efficiently scales its infrastructure to process metadata for 1 million videos and extract raw files for 500K videos, ensuring seamless integration into the client’s AI pipeline.
With Grepsr’s high-quality datasets, the client enhanced their AI’s ability to process audio-visual data, accelerating the development of advanced speech recognition capabilities.

Challenges

As the project progressed, the client realized that metadata and transcriptions alone weren’t sufficient for their AI models to achieve the desired level of accuracy.
To fully train their multimodal system, they needed access to the actual video files, enabling deeper analysis of both audio and visual elements.
What started as a large-scale metadata extraction task quickly evolved into a far more complex operation—one that required downloading and processing raw video files for over 500K videos.
This expansion brought significant logistical hurdles, including managing high data volumes, ensuring bandwidth efficiency, and maintaining a rapid turnaround within the client’s strict deadlines.
Grepsr needed to scale its infrastructure seamlessly while upholding speed, reliability, and data integrity.

“Our clients are top-tier enterprises in their industry. Since we use AI to provide them with key insights, we needed to receive quality data within strict deadlines. Kudos to the Grepsr team for handling the data acquisition part seamlessly. The Customer Success team was super as well!”

Data Analytics Lead

1 M

Videos Processed for Metadata and Transcriptions

500 K+

Raw Video Downloads

80 %

Efficiency Gain in Data Collection & Processing

Solutions

With over a decade of experience in large-scale data extraction, Grepsr was able to quickly assess and adapt to the client’s evolving needs.
While their internal resources were geared towards AI training, the task of collecting and processing millions of video files was outside their scope.
Grepsr’s scalable infrastructure and deep knowledge of web scraping enabled us to efficiently handle the raw data extraction for 1M videos and 500K+ video files, even during peak times.
For AI companies facing similar challenges, this project highlights the importance of working with a specialized external data provider.
Collecting and processing web data at scale requires not only the right tools but the expertise to do so efficiently and accurately—something Grepsr delivers without missing a beat.
Grepsr’s high-quality datasets seamlessly integrated into the client’s pipeline, accelerating model development and enabling more advanced speech recognition.

Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

PROCESS

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the data sourcing heavy lifting to us, so you can focus on innovation and growth.

Initial project consultation

First, we'll discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successful project execution.

Instrument web crawlers

We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.

Begin data collection

Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.

Hassle-free maintenance

Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.

Data acquisition doesn’t have to be a burden

Offload your routine data extractions on our able hands, and focus on more pressing matters.

Get the ball rolling

Forget about your data extraction woes

With over 10 years of experience in serving enterprises with their data sourcing needs, we know what it takes to collect and deliver high-quality web data.

Take data-driven decisions and propel your business forward. Whether you’re a startup or a large international enterprise, we can help you: