Molmo API
Add Image Captioning and Vision Text Output to Your App
Use the Molmo API to turn images into captions, alt text, metadata, and visual descriptions inside your product. Send an image, define the text output you need, and route the response into accessibility features, search indexes, catalogs, moderation queues, or multimodal data pipelines.
Start with $1 credit.
Molmo API at a glance
Start with the API endpoint
Use the API when image understanding needs to happen inside your own application instead of a manual browser session. The core pattern is simple: submit an image, pass an instruction, receive text, and store the result with your asset metadata.
This fits teams building alt text automation, media indexing, product catalog enrichment, content review, dataset labeling, and visual context extraction for RAG systems. Keep a human review step for sensitive domains, public publishing, or high-value catalog pages.
Send image, request caption, store output
The API workflow is compact and easy to place inside existing systems.
Prepare image. Send a clear image as an accepted file, encoded payload, or accessible URL based on the model page requirements.
Set instruction. Ask for alt text, product description, scene summary, visual tags, or a specific answer about the image.
Parse response. Store the generated text with the asset, page, product, document, or moderation record.
Scale safely. Add caching, rate controls, review routing, and error handling for batch workloads.
Production workflows to build
Alt text automation
Generate image descriptions for accessibility review queues
Media indexing
Add searchable captions to asset libraries and archives
Catalog enrichment
Turn product images into usable listing metadata
Visual Q&A
Let users ask targeted questions about uploaded images
Dataset labeling
Produce first-pass captions for training and evaluation sets
Content moderation
Summarize image content before human review
RAG context
Attach visual descriptions to slides, screenshots, and documents
Batch captioning
Process repeat image-to-text jobs with queue and retry logic
Integration path for product teams
Start by testing representative images in the playground. Once the output length and wording are close to your workflow, move to API access and store the prompt, source image reference, generated text, review status, and downstream usage target for each request.
For deeper benchmark, pricing, architecture, and limitation analysis, use the Molmo 2 Review. This API page stays focused on implementation entry points and production routing.
Trust and source note
AllenAI's Molmo 2 announcement introduces the model family. Treat it as source context and validate the API against your own image set before shipping.
Frequently asked questions about the Molmo API
Build with the Molmo API
Use API access for repeatable image-to-text automation, and keep the playground available for prompt testing and output review.
Start with $1 credit.