List of OpenAI Whisper API Customers
OpenAI
1455 3rd St,
San Francisco, 94158, CA,
United States
San Francisco, 94158, CA,
United States
1 669-200-3584
Professional Services
5328
$3.7B
Since 2010, our global team of researchers has been studying OpenAI Whisper API customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased OpenAI Whisper API for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using OpenAI Whisper API for Speech Recognition AI include: Snap, a United States based Media organisation with 5367 employees and revenues of $4.60 billion, Quizlet, a United States based Education organisation with 250 employees and revenues of $30.0 million, Truvideo, a United States based Professional Services organisation with 30 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenAI Whisper API, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Quizlet | Education | 250 | $30M | United States | OpenAI | OpenAI Whisper API | Speech Recognition AI | 2023 | n/a |
In 2023, Quizlet implemented the OpenAI Whisper API to add enterprise-grade Speech Recognition AI capabilities to its learning platform. Quizlet is a global learning platform used by more than 60 million students, and this implementation builds on three years of prior integrations with OpenAI models including GPT-3 and the ChatGPT API to support adaptive learning features such as Q-Chat.
The deployment of the OpenAI Whisper API was configured as a cloud-hosted, API-first speech ingestion layer that performs real-time speech-to-text transcription, automated punctuation and basic language detection to normalize student audio inputs. OpenAI Whisper API transcripts are produced for live chat interactions and recorded study sessions, enabling captioning, searchable study logs, and text-based prompts that feed downstream adaptive tutoring logic. Functional modules implemented include real-time transcription, transcript normalization, and event-driven delivery of transcript payloads to the tutoring engine.
Transcripts from the OpenAI Whisper API are integrated into Quizlet’s Q-Chat workflow alongside the ChatGPT API and existing GPT-3 based components, creating a text-native input stream for adaptive question generation and conversational tutoring. Operational scope centers on the product and engineering teams that manage student-facing tutoring features and the content teams that curate study materials, with governance extending existing content moderation and review workflows to include audio-derived transcripts. The implementation focuses on operationalizing Speech Recognition AI for student engagement and accessibility without specifying measured outcomes.
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Snap | Media | 5367 | $4.6B | United States | OpenAI | OpenAI Whisper API | Speech Recognition AI | 2023 | n/a |
In 2023, Snap integrated the OpenAI Whisper API into Snapchat’s My AI feature as part of an experimental rollout for Snapchat+ subscribers, combining speech recognition with conversational AI in the messaging experience. The implementation uses OpenAI Whisper API as the Speech Recognition AI component to transcribe user audio inputs, while conversational responses are generated via the ChatGPT API, enabling voice-driven recommendations and creative outputs such as haiku generation for Snapchatters. Snap Inc. is the company implementing the OpenAI Whisper API in this deployment.
The integration implements core speech recognition capabilities, including client-side audio capture, server-side audio ingestion, and automatic transcription with the OpenAI Whisper API to produce text transcripts for downstream language processing. Transcripts are routed into conversation orchestration logic that contextualizes prompts for the ChatGPT API, enabling personalization and session continuity across messaging exchanges. Functional modules include audio-to-text processing, prompt assembly and context management, and response rendering within the Snapchat chat interface.
Operationally the deployment is exposed as an API-first service within Snapchat’s messaging stack, launched to Snapchat+ users as an experimental feature and instrumented for iterative improvement. Cross-functional ownership sits with product and engineering teams to manage feature flags, user opt-in, and conversational tuning, while the deployment emphasizes low-latency transcription and seamless handoff between the OpenAI Whisper API and ChatGPT API. The implementation directly impacts consumer messaging and product personalization functions across Snapchat’s daily communication workflows.
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Truvideo | Professional Services | 30 | $3M | United States | OpenAI | OpenAI Whisper API | Speech Recognition AI | 2023 | n/a |
In 2023 Truvideo integrated OpenAI Whisper API into its media processing pipeline to improve automated subtitle generation and audio transcription. The Speech Recognition AI capability was embedded into the platform that enables vehicle service departments to send custom videos to clients, aligning speech-to-text outputs with visual repair evidence.
The implementation centers on a dedicated microservice for extracting audio from uploaded videos, developed in Python with Flask, which generates subtitles and timecoded transcripts using OpenAI Whisper API. This microservice augmented an earlier Google Speech to Text based workflow and coexists with additional services including a real-time voice bot and a mass marketing notification service. Functional modules implemented include audio extraction, speech recognition, subtitle generation, session management, and notification orchestration.
The architecture follows a microservices topology, leveraging Redis pub/sub for real-time communication and AWS for backend scalability to handle concurrent sessions. Integrations explicitly implemented include Google My Business API for review and messaging management, OpenAI Embeddings API and GPT API for PDF information extraction and contextual responses, and the OpenAI Whisper API for high fidelity speech recognition within the media pipeline.
Operational scope focused on vehicle service department workflows and customer-facing communications, with engineering emphasis on high-performance processing and concurrency. The rollout emphasized service level orchestration across media processing, real-time voice interactions, and notification services, resulting in improvements in user engagement and satisfaction through enhanced subtitle accuracy and optimized notification flows.
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Buyer Intent: Companies Evaluating OpenAI Whisper API
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OpenAI Whisper API. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating OpenAI Whisper API for Speech Recognition AI include:
- Mechanics Bank, a United States based Banking and Financial Services organization with 1921 Employees
- Netassist, a Malaysia based Professional Services company with 60 Employees
- Morning Brew, a United States based Media organization with 300 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD OpenAI Whisper API Coverage
OpenAI Whisper API is a Speech Recognition AI solution from OpenAI.
Companies worldwide use OpenAI Whisper API, from small firms to large enterprises across 21+ industries.
Organizations such as Snap, Quizlet and Truvideo are recorded users of
OpenAI Whisper API for Speech Recognition AI.
Companies using OpenAI Whisper API are most concentrated in Media, Education and Professional Services, with adoption spanning over 21 industries.
Companies using OpenAI Whisper API are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenAI Whisper API across Americas, EMEA, and APAC.
Companies using OpenAI Whisper API range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.
Customers of OpenAI Whisper API include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified OpenAI Whisper API customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Speech Recognition AI.