Give GPT-4o and o1 Access to Your Audio and Video
Speak AI connects your audio and video data to GPT-4o and o1 via REST API and MCP server. No transcription layer to build, no manual exports. Pipe speaker-labeled, timestamped transcripts directly into your AI pipeline and let your models reason over real-world recordings at scale.
What you can do
Connect Speak AI to your GPT-4o or o1 workflow in minutes. REST API and MCP server. Standard HTTP, standard auth, structured JSON.
Connect via REST API or MCP Server
Speak AI exposes a full REST API and an MCP server so you can pull transcripts, media metadata, speaker segments, and NLP outputs into any GPT-4o or o1 workflow. No proprietary SDK required — standard HTTP, standard auth, structured JSON responses. Full reference at docs.speakai.co.
Get Structured Output Ready for AI Reasoning
Every transcript comes with speaker labels, timestamps, confidence scores, sentiment markers, and keyword extraction already attached. Your model gets clean, structured input — not a raw audio file it has to interpret. No cleaning step, no glue code.
Run Batch Jobs and Async Pipelines
Ingest recordings in bulk via the API. Speak AI processes files asynchronously and posts results to your webhook when done — so your pipeline keeps moving without polling loops or rate limit workarounds. Supports MP3, MP4, WAV, M4A, WEBM, and 70+ other formats.
Let GPT-4o Reason Over Your Entire Media Library
Your GPT-4o agent can query 6 months of interview transcripts, extract named entities, and return structured JSON — without a single manual export. Connect your Speak AI library to any GPT-4o agent and run natural language queries across every recording you own.
How it works
Three steps from account creation to structured transcript data in your GPT-4o pipeline.
Get Your API Key
Create a free Speak AI account and generate your API key from the dashboard. The API is available on all plans including the trial. Full reference documentation is at docs.speakai.co. Authentication uses standard bearer token or OAuth 2.0.
Ingest Your Recordings
Upload audio or video files via the REST API or connect a media source. Speak AI transcribes, diarizes, and enriches each file — returning speaker-labeled, timestamped JSON you can immediately pipe downstream. Webhook callbacks notify your system when processing completes.
Feed the Output to GPT-4o or o1
Pass transcript JSON directly to your GPT-4o or o1 prompt, function call, or retrieval pipeline. The output is already structured for LLM consumption — speaker-segmented, timestamped, and NLP-enriched. No reformatting required.
GPT-4o + Speak AI use cases
Audio and video intelligence for AI workflows across research, product, and media pipelines.
Research Ops
Analyze Hundreds of Interviews Without Manual Coding
Pull every recorded interview through the Speak AI API and pipe the transcripts into a GPT-4o analysis pipeline. Extract themes, named entities, and sentiment at scale — then return structured summaries to your research dashboard automatically. What used to take weeks of manual coding becomes a scheduled pipeline job.
Product & Engineering
Build AI Features on Top of Real Conversation Data
Use Speak AI as the transcription and NLP layer so your team doesn’t have to build one. Ingest customer calls, user research sessions, or QA recordings and expose them to your model via the REST API — ready for classification, summarization, or retrieval augmented generation.
Media & Content Pipelines
Automate Transcript-to-Content Workflows at Scale
Transcribe recorded content in batch, extract key quotes and segments via the API, and pass structured output to GPT-4o for summarization, rewriting, or SEO copy generation. What used to take days of manual editing becomes a scheduled pipeline job your team never has to touch.
Using GPT-4o with Audio and Video Data
GPT-4o and o1 are powerful reasoning models — but they work on text, not raw audio. To get GPT-4o reasoning over your recordings, you need structured transcript data it can process. Speak AI provides that layer: transcription, speaker diarization, NLP enrichment, and a REST API that delivers clean JSON to any downstream system.
The practical difference between feeding GPT-4o raw text versus Speak AI’s structured output is significant. Raw transcript text is a single block with no speaker identity, no timestamps, and no semantic markers. Speak AI’s output tags every segment by speaker, timestamp, sentiment, keywords, and topics. GPT-4o can then reason over that structure: “What did Speaker 2 say about the pricing model?” or “Which interviews mentioned a competitor in the first 5 minutes?” — queries that are impossible on flat text.
For developers building retrieval-augmented generation (RAG) pipelines, Speak AI’s transcript JSON is ready for chunking and embedding without a preprocessing step. Speaker segments become natural chunk boundaries. Timestamps become retrievable citations. NLP-extracted keywords become searchable metadata for your vector store.
REST API vs MCP Server
Speak AI supports two integration paths. The REST API is the standard choice for server-side pipelines: upload a file, poll or webhook for completion, retrieve transcript JSON. The MCP server is the right choice when you want GPT-4o agents to query and interact with your Speak AI media library in real time — issuing tool calls to search, retrieve, or analyze recordings as part of an agentic workflow.
Both paths share the same underlying data. A recording uploaded via REST API is immediately queryable via MCP. This means you can build a batch ingestion pipeline on REST while your GPT-4o agents query the same library through MCP — without duplicating data or managing separate systems.
Supported formats and languages
Speak AI supports all major audio and video formats: MP3, MP4, WAV, M4A, OGG, FLAC, WEBM, AVI, MOV, and more. Files can be uploaded directly via the API or provided as a URL. Transcription is available in 80+ languages with automatic language detection. Speaker diarization, timestamps, and NLP analytics are available across all supported languages and formats.
Frequently asked questions
Does Speak AI have a REST API?
Yes. Speak AI provides a full REST API with endpoints for uploading media, retrieving transcripts, accessing speaker data, running NLP queries, and managing your media library. Authentication uses standard bearer tokens or OAuth 2.0. Full reference documentation is at docs.speakai.co. There is also an MCP server for connecting Speak AI to GPT-4o agents and agentic workflows.
How do I use GPT-4o with audio data from Speak AI?
Upload your audio or video to Speak AI via the API. Speak AI returns a structured transcript with speaker labels, timestamps, and NLP enrichment. Pass that JSON directly to GPT-4o as context in your prompt or retrieval system. GPT-4o then reasons over clean, structured text rather than raw audio — enabling queries like “What themes came up across all 50 interviews?” or “Extract all action items from last quarter’s calls.”
What audio and video formats are supported?
Speak AI supports all major formats: MP3, MP4, WAV, M4A, OGG, FLAC, WEBM, AVI, MOV, and more. Files can be uploaded directly via the API or provided as a URL from YouTube, Vimeo, and other platforms. Batch ingestion is supported for pipelines processing large volumes of recordings.
Is there an OpenAI plugin for Speak AI?
Speak AI integrates with OpenAI workflows via REST API and MCP server — not the legacy ChatGPT plugin store. The MCP server is the recommended approach for connecting Speak AI to GPT-4o agents and custom AI pipelines. See the MCP documentation for setup instructions.
Start Building With Speak AI and GPT-4o
Structured audio and video data for your GPT-4o pipeline. Free trial, full API access, no credit card.
Start Free Trial
Create an account and get your API key. Full access to all 80+ tools, REST API, and MCP server during the 7-day trial. No credit card required.
Read the Docs
Full REST API reference, MCP server setup, authentication guide, webhook documentation, and code examples at docs.speakai.co.
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