IMAGE INPUT JPEG · PNG · WEBP · GIF AUDIO INPUT MP3 · WAV · FLAC · M4A VIDEO INPUT MP4 · MOV · WebM DOC INPUT PDF · DOCX · XLSX · PPTX LATENCY <200ms first token ACCURACY 99% on mixed-media tasks MODALITIES SUPPORTED 4 native THROUGHPUT 10× faster than manual review STREAMING LATENCY 50ms median API-FIRST · SOC 2 TYPE II · AES-256 AT REST IMAGE INPUT JPEG · PNG · WEBP · GIF AUDIO INPUT MP3 · WAV · FLAC · M4A VIDEO INPUT MP4 · MOV · WebM DOC INPUT PDF · DOCX · XLSX · PPTX LATENCY <200ms first token ACCURACY 99% on mixed-media tasks MODALITIES SUPPORTED 4 native THROUGHPUT 10× faster than manual review STREAMING LATENCY 50ms median API-FIRST · SOC 2 TYPE II · AES-256 AT REST
MULTIMODAL INTELLIGENCE PLATFORM

AI THAT SEES,
HEARS, & UNDERSTANDS.

Every format your business runs on — images, audio, video, documents — unified into a single model that reasons across all of it at once. No brittle pipelines. No stitching tools.

multimodal.terminal — v2.4.1 ● CONNECTED
$connect --host multimodal.ms --auth token
→ Connected. Latency: 11ms
$POST /v1/complete
{
    "inputs": [
      { "type": "image", "url": "invoice.jpg" },
      { "type": "audio", "url": "call.mp3" },
      { "type": "text", "content": "Summarize" }
    ]
}
// → 200 OK — 143ms
{
    "result": "Invoice #4821 matches call…",
    "modalities_used": ["image","audio","text"],
    "confidence": 0.97
}
// 01 — Modalities
0
Natively Supported Input Types
// 02 — Throughput
0
Faster Than Manual Review
// 03 — Accuracy
0
On Mixed-Media Tasks
// 04 — Latency
0
Median Streaming Latency
// 01 — THE PROBLEM

The World Isn't Text.
Your AI Shouldn't Be Either.

Most automation still assumes information arrives as clean text. Reality arrives as screenshots, scanned PDFs, phone calls, security footage, and photos — forcing it all through single-channel pipelines creates constant friction.

Brittle OCR Pipelines

Text extraction from images and PDFs breaks constantly, requiring constant manual correction and re-processing.

Lossy Format Translation

Converting audio to text, images to descriptions loses critical context and meaning along the way.

Fragmented Workflows

Different modalities require different tools, different teams, and endless manual handoffs that slow everything down.

legacy single-channel pipeline · STATUS: DEGRADED
📄
scanned_invoice.pdf
OCR → lossy
🎙️
support_call.mp3
text-only ASR
📸
damage_photo.jpg
unsupported
📊
quarterly_chart.png
manual review
🎥
site_inspection.mp4
no pipeline
⚠ 3 workflows · 5 tools · hours of manual work
// 02 — SOLUTION

One Model. Every Kind of Input.

multimodal.ms treats text, images, audio, and video not as separate problems — but as a single stream of meaning a model reasons over together.

Mixed-Media Prompts

Combine text, images, audio, and video in a single request. The model reasons across all of it together — no preprocessing, no format wrangling, no stitching tools.

Visual Understanding

Extract real meaning from screenshots, diagrams, charts, and scans — far beyond OCR. Understand layout, spatial relationships, and visual structure natively.

Speech in Context

Transcribe and genuinely understand spoken content — capturing tone, intent, and meaning, not just the words. Audio as a first-class input.

Temporal Reasoning

Analyze video frames and sequences over time. Understand what changes, what matters, and what happened — in surveillance, inspection, or recorded meetings.

// 03 — CAPABILITIES

Built to Perceive Everything

Every capability you need to build AI that works with the world as it actually is — not just text.

Document Intelligence

Understand layout, tables, and figures in complex documents. Extraction that respects structure — far beyond OCR or plain text parsing.

Cross-Media Search

Find what you need whether it lives in text, an image, or a recording. Unified semantic search across every modality your organization stores.

Visual Q&A

Answer questions about images for support, inspection, and compliance use cases. Point at a photo, ask a question, get a grounded answer — instantly.

Accessibility AI

Describe images and caption audio automatically, for every user. Build inclusive products without building separate accessibility pipelines.

Real-Time Streaming

Stream results for responsive, live experiences. Process audio and video as they arrive — don't wait for a file to finish before generating insight.

Secure by Design

Sensitive media — photos, call recordings, documents — handled with appropriate protection. Encryption in transit and at rest, configurable retention.

// 04 — HOW IT WORKS

One Request. Any Combination.

Send any mix of inputs. Get a unified result. Build once, scale everywhere.

Document Processing
Meeting Intelligence
Field Inspection
Cross-Media Search

Document Intelligence at Scale

Send a scanned form, PDF, or image of a document. The model understands layout, reads tables, interprets charts, and extracts structured data — without fragile OCR rules.

  • Understands spatial layout and column structure natively
  • Extracts tables, signatures, and figures with full context
  • Works on multi-page documents and complex layouts
  • Returns structured JSON or a human-readable summary
JSON POST /v1/complete
// Send image + instruction
{
  "inputs": [
    { "type": "image", "url": "invoice.jpg" },
    { "type": "text", "content": "Extract line items" }
  ]
}
// Response → 200 OK
{ "items": [...], "total": "$4,820.00" }

Meeting & Call Intelligence

Upload a recorded call or meeting. The model transcribes, understands context, and extracts decisions, action items, and sentiment — all in one pass.

  • Speaker-aware transcription with intent understanding
  • Automatic action item and decision extraction
  • Sentiment and tone analysis per speaker
  • Searchable meeting archive across your entire org
JSON POST /v1/complete
// Audio input + analysis task
"inputs": [
  { "type": "audio", "url": "meeting.mp4" },
  { "type": "text", "content": "List decisions" }
]
// Response
{ "decisions": ["Launch Q3", ...], "actions": [...] }

Field Inspection Intelligence

Technicians submit photos from the field. The model analyzes damage, assesses condition, generates structured reports — with structured output your systems can act on.

  • Visual damage detection from field photos
  • Generates structured inspection reports automatically
  • Flags anomalies against reference images
  • Works on low-quality or compressed field photography
JSON POST /v1/complete
// Photo + inspection prompt
"inputs": [
  { "type": "image", "url": "damage.jpg" },
  { "type": "text", "content": "Assess damage" }
]
// Response
{ "severity": "HIGH", "report": "..." }

Cross-Media Search

Query across your entire media archive — documents, recordings, images — using natural language. The model retrieves the most relevant content regardless of what format it's in.

  • Single query across all media types simultaneously
  • Semantic understanding, not keyword matching
  • Surfaces clips, pages, and frames — not just files
  • Integrates with your existing storage and search stack
JSON POST /v1/search
// Unified semantic search
{
  "query": "damage to unit 7 roof",
  "modalities": ["image","audio","text"],
  "limit": 10
}
// Returns ranked results across all media
// 05 — COMPARISON

multimodal.ms vs. Single-Channel Tools

Capability multimodal.ms OCR Tool ASR Tool Vision API
Image + Text Together✓ NativePartial
Audio + Image Correlation✓ NativeText only
Structured Output✓ JSONLimitedLimitedLimited
Understands LayoutPartial
Single API Surface
Real-Time StreamingPartial
// 06 — GET STARTED

Up and Running in Minutes

01 ——

Request Access

Book a demo. We walk through your specific media types and use case in a live session.

02 ——

Get Your API Key

Receive credentials, SDK access, and documentation for your chosen modalities.

03 ——

Send Your First Request

POST any combination of inputs to /v1/complete. Get structured results in milliseconds.

04 ——

Scale to Production

Enterprise SLA, VPC deployment, and dedicated support for high-volume workloads.

// 07 — USE CASES

Built for Real Workflows

Insurance Claims Processing

Ingest photos, call recordings, and scanned forms together. Automatically extract facts, flag inconsistencies, and generate structured reports — without a five-tool pipeline.

Meeting Intelligence

Record calls and meetings. Get transcripts, action items, decisions, and sentiment analysis — all in one pass. Search three years of meetings like a database.

Field Inspection & QA

Field technicians photograph damage and submit images. Get a structured assessment report in under a minute — not 3 days.

Accessibility & Compliance

Auto-describe images, caption audio, and transcribe video for every user. Build inclusive products without building separate accessibility toolchains.

// 08 — INTEGRATIONS

Connects to Your Stack

AWS S3
Azure Blob
GCS
Zapier
Make
REST API
Python SDK
Node SDK
Webhooks
SSO / SAML
VPC Deploy
Datadog
// 09 — SECURITY

Sensitive Media, Handled Properly

Photos, recordings, and documents carry real risk. multimodal.ms is built to handle sensitive media with appropriate protections at every layer.

SOC 2 Type II

Independently audited controls for media storage, access, and processing — covering confidentiality and availability.

Encryption Everywhere

All media encrypted in transit (TLS 1.3) and at rest (AES-256). No plaintext storage at any layer.

Configurable Retention

Define how long media is retained — or require immediate deletion after processing. Your data, your rules.

VPC Deployment

Self-hosted and single-tenant options keep sensitive media entirely within your network perimeter.

RBAC & Audit Logs

Fine-grained access control for who may submit, view, or retain media. Every API call logged and traceable.

99.9% Uptime SLA

Enterprise availability with redundant infrastructure and 24/7 monitoring across all processing pipelines.

// 10 — TESTIMONIALS

Teams Building with Every Modality

"

We replaced a five-tool pipeline — OCR, NLP parser, manual review, ticketing, and a custom classifier — with a single multimodal.ms API call. Our document processing time dropped from 4 hours to under 30 seconds.

JP
James P.
Head of Automation, Global Insurer
"

Our field technicians used to photograph damage and wait 3 days for an assessment. Now they get a structured report in under a minute. The speed change alone justified the switch — the accuracy improvement was a bonus.

RC
Rachel C.
VP Operations, Infrastructure Services
"

We search three years of recorded meetings like a database now. Every decision, every commitment, every context — findable in seconds. It fundamentally changed how our leadership team operates.

TM
Tomas M.
CTO, Enterprise SaaS Platform
// 11 — FAQ

Common Questions

What media formats does multimodal.ms support?
Images: JPEG, PNG, WEBP, GIF, BMP. Audio: MP3, MP4 audio, WAV, FLAC, OGG, M4A. Video: MP4, MOV, AVI, WebM. Documents: PDF, DOCX, XLSX, PPTX, and image-based scans. File size limits and duration caps apply per modality — see API documentation for current limits.
How does the model reason across different modalities simultaneously?
multimodal.ms uses a unified transformer architecture that processes all input types in a shared embedding space. Rather than running separate models and merging outputs, all modalities are encoded together before any reasoning happens.
What's the latency for real-time streaming use cases?
For streaming text responses, first-token latency is typically under 200ms. Live transcription and analysis latency depends on chunk size — shorter chunks give faster feedback with slightly lower accuracy; longer chunks maximize accuracy.
Is media I submit used to train your models?
No. Data submitted via the API is never used for model training. Enterprise customers can additionally opt for zero-retention mode, where submitted media is deleted immediately after processing.
Can I mix models to control cost vs. accuracy tradeoffs?
Yes. multimodal.ms exposes multiple model tiers — a fast, cost-optimized model for high-volume tasks and a higher-accuracy model for complex requests. You can route by modality, task type, or dynamically based on confidence scores.
Is a self-hosted deployment available?
Yes. Enterprise customers can deploy multimodal.ms entirely within their own cloud environment — AWS, GCP, or Azure — or on-premises for air-gapped requirements. Self-hosted deployments include the same API surface, model tiers, and tooling as the managed service.
GET STARTED

Build AI That
Perceives the Whole Picture

The information that runs your business has always been multimodal. Only your tools were single-channel. That changes now.

Request a Demo

See multimodal.ms handle your actual content — images, audio, documents — in a live walkthrough.