Coming soon
Text to Speech
Generate natural speech from text and a reference voice sample.
Voice cloning
TextAudio
Specialized models for specific tasks.
Task-specific AI capabilities for applications and agents.
TaskInfer turns specialized models into production-ready APIs, starting with Speech to Text and speaker diarization.
- OpenAI-compatible Speech to Text
- Speaker diarization
- Text to Speech coming soon
Capabilities
Purpose-built capabilities, one task at a time.
Each capability has a focused interface, predictable output, and a model selected for the work.
Developer infrastructure
A consistent platform for specialized work.
Authentication, usage, and errors stay consistent while each capability keeps the interface and execution profile its task requires.
One API keyUse one credential across available capabilities.
Consistent contractsShare authentication, errors, and request conventions.
Unified usageTrack task activity through one control plane.
Independent capabilitiesUse focused endpoints that evolve with each task.
01Application or agentproduct / workflow
02Task-specific APIfocused contract
03Specialized modelbuilt for the job
Elastic inference lets task containers start and scale with demand, reducing idle infrastructure when traffic is low.
Designed for integration
Capabilities that fit applications and agents.
Applications and agents call the capability they need through stable HTTP contracts and receive predictable, structured results.
Applications
For products and automation
Add focused capabilities to products, pipelines, and SaaS workflows.
OpenAI-compatible audio · predictable responses
Agents
For agent tool calls
Invoke task-specific capabilities from agent workflows through authenticated HTTP endpoints.
HTTP endpoints · structured task results
OpenAI-compatible
Keep the audio API shape you already use.
Move existing Whisper transcription and OpenAI text-to-speech integrations with familiar routes, request fields and response shapes.
TaskInfer adds task-specific audio capabilities while keeping the integration model familiar.
Audio interface mapfamiliar routes
Speech to Text
POST/v1/audio/transcriptionsmultipart · file · language
Speaker diarizationText to Speech
POST/v1/audio/speechjson · voice · input
Voice cloningCompatibility applies to the public request and response shape. TaskInfer adds task-specific features while keeping integrations familiar.
Right-sized inference
Why task-specific models
General-purpose models remain useful for open-ended reasoning. For repeatable production tasks, a focused model can offer a simpler, more controllable operating profile.
Task scopeBroad reasoning across many domainsFocused behavior for a defined job
Compute profileProvisioned for wide capabilitySized around the task workload
Response shapeFlexible natural-language outputTask-specific structured output
OperationsOne large model for mixed requestsIndependent services that scale by demand
Start with a concrete task
Give the work to a model built for it.
Add task-specific capabilities to applications and agents without operating every model yourself.