Classify and route text
Assign text to supplied labels and return the selected label, probability, confidence, and scores so an application can choose a queue or destination.
milliseconds.ai
Freemium
milliseconds.ai is an API for making structured decisions from text and images, including classification, extraction, scoring, yes/no checks, and verification. It supports workflows such as support triage, invoice intake, sales routing, and returns review.
What is milliseconds.ai?
milliseconds.ai is a decision-focused AI API for applications that need a clear result from text or images rather than a long-form response. Requests can return labels, fields, scores, Boolean answers, extracted text spans, or entity records in structured data. It is available through REST, SDKs, and a CLI.
The service is suited to repetitive operational decisions such as support routing, invoice intake, evidence checks, sales-message triage, transcript review, and returns handling. Its responses can include probabilities, confidence information, source offsets, and values found in the input, allowing applications to automate a next step while retaining data for review.
What can milliseconds.ai do?
Rate against a scale
Score a message using an ordered set of levels, such as calm through furious, with the reported score, selected level, confidence, and per-level scores.
Answer questions from source text
Locate an answer to a supplied question and return the matching text span, probability, and character offsets showing where the answer came from.
Extract schema-based records
Map text to a supplied object schema, such as invoice number, vendor, total, and currency, for validation before writing a record.
Identify entities and verify values
Find typed entities such as people, organizations, dates, or custom references, and compare a proposed value with evidence in source text.
Process text and images through developer interfaces
Send supported inputs through REST, SDKs, or the CLI. Images can be provided as bytes, data URLs, or base64, with JPEG, PNG, and WebP supported up to 5 MB.
Use Cases
“Support triage”
Classify incoming messages into support queues, score customer frustration, and use yes/no decisions to flag urgent requests for higher priority.
“Invoice and document intake”
Extract vendor, invoice number, totals, and other defined fields, then compare the result with purchase-order or accounting data before creating a record.
“Sales and revenue operations”
Separate demo requests, support messages, vendor pitches, and other inbox traffic while extracting stated budget, timing, and business need for follow-up.
“Data quality and evidence checks”
Compare an entered or extracted value with the original text, expose the value found in the source, and prevent a mismatched number from being synced.
“Customer experience and returns”
Find personal details for review or redaction in transcripts, and combine customer requests with order and policy facts to suggest a return action.
Frequently Asked Questions
What kinds of outputs does milliseconds.ai return?
Depending on the capability, it can return labels, scores, yes/no answers, extracted text spans, schema-based fields, typed entities, or verification results. Responses may also include probabilities, confidence values, scores, offsets, or source values.
Can it process images?
Yes. Supported image formats are JPEG, PNG, and WebP, with a maximum size of 5 MB. Images must be sent as bytes, a data URL, or base64; remote image URLs are not supported.
How is the service priced?
Production usage costs $0.04 per million input tokens, and output tokens are free. Test keys receive 125 million free input tokens per month. Production keys use purchased credits, while test usage and production usage remain separate.
Is it suitable for full document transcription?
The image capabilities for extraction, entities, and verification use a focused generative pass and are not intended for full-page transcription. The pricing page directs users with whole documents to the separate CloudRaker Paperwork product.
How can developers integrate it?
The service is available through REST, SDKs, and a CLI. The site also provides agent skills for coding agents, including capability-selection guidance, SDK patterns, review thresholds, and evaluation workflows.
Quick Facts
- Product type
- Structured AI decision API
- Inputs
- Text and images
- Interfaces
- REST, SDKs, and CLI
- Production price
- $0.04 per million input tokens; output tokens free
- Test allowance
- 125 million free input tokens per month on test keys
- Image formats
- JPEG, PNG, and WebP; maximum 5 MB
milliseconds.ai Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 17
milliseconds.ai Alternatives
Gemini API
ai.google.dev
Gemini API is a developer API for integrating Google’s generative AI models into applications. It supports text and image generation, multimodal analysis, conversational agents, structured outputs, tool use, and related media workflows through SDKs or REST.
Koreshield
koreshield.ai
Koreshield is a runtime security and evidence layer for AI support workflows. It checks customer input, retrieved context, and proposed tool actions before they become trusted model behavior or operational actions.