Custom
Translation Projects

STEP 1
Research multiple AI platforms to determine the best approach for each language (OpenAI, DeepL, AssemblyAI)

STEP 2
Leverage AI to transcribe video, audio, or document in source language, followed by human review

STEP 3
Use AI to translate video, audio, or document from source to target language, followed by human review

How Accurate Are AI-Generated Translations?
With the popularization of AI since the release of ChatGPT at the end of 2022, AI-generated transcriptions and translations have come a long way, but they are still far from perfect.
AI is better at transcribing and translating some languages than others depending on the amount of training data the large language models have been trained on.
What is WER (Word Error Rate)?
Automatic speech recognition (ASR) technology uses machines and software to identify and process spoken language. This technology has advanced significantly in recent years, but does not always yield perfect results.
In the process of recognizing speech and translating it into text form, some words may be left out or mistranslated. If you have used ASR in some capacity, you probably have encountered the phrase “word error rate” (WER). Read more.
Our Approach
Easy Cloud has been on the cutting edge AI since 2022, pivoting much of our business to AI projects in recent years, and successfully launching Beluga, an AI sermon transcription service to help equip the Christian community.
Our Professional Services team is agile and flexible as demonstrated by the fact that we are not tied to a single AI platform.
Here is a quick rundown of popular AI platforms and their best use cases:
- Best AI to search and perform deep research – Perplexity
- Best AI for videos – Google Veo + OpenAI’s Sora
- Best AI for general purposes – OpenAI’s ChatGPT
- Best AI for writing and coding – Claude
- Best AI for image generation – Midjourney


Best AI Platforms for Translation
OpenAI’s Whisper
Whisper is an Automatic Speech Recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Read more.
DeepL
Translate efficiently in 30+ languages with DeepL Translator Pro. Our AI technology provides accurate translations for documents, images, speech, and text. Improve global communication and business reach with our reliable, high-quality translation solution. Read more.


AssemblyAI
For AssemblyAI’s Universal-2, we doubled the size of the supervised training dataset from 150,000 hours to 300,000 hours.
Our multi-objective tagging model has been trained for 100k steps with a batch size of 256 over 23 million training samples, totalling approximately 5.2 billion words of which 72% are publicly available data, while 28% have been sourced in-house. Read more.
The Necessity of Human Review
What is WER (Word Error Rate)?
Automatic speech recognition (ASR) technology uses machines and software to identify and process spoken language. It can also be used to authenticate a person’s identity by their voice. This technology has advanced significantly in recent years, but does not always yield perfect results.
In the process of recognizing speech and translating it into text form, some words may be left out or mistranslated. If you have used ASR in some capacity, you probably have encountered the phrase “word error rate” (WER).
Let’s take a look at the idea of WER, how to calculate it, and why it matters. Read more.


Custom Quote
Every Project is Unique
Automatic speech recognition (ASR) technology uses machines and software to identify and process spoken language. It can also be used to authenticate a person’s identity by their voice. This technology has advanced significantly in recent years, but does not always yield perfect results.
In the process of recognizing speech and translating it into text form, some words may be left out or mistranslated. If you have used ASR in some capacity, you probably have encountered the phrase “word error rate” (WER).
Let’s take a look at the idea of WER, how to calculate it, and why it matters. Read more.