compare

What makes Frenchie different for AI agents.

Four capabilities delivered as one MCP server — OCR, transcription, extraction, and image generation. Here's how we compare to the libraries, models, converters, and platforms your agent might call instead.

Hand-drawn line illustration: a small humanoid AI agent in a thoughtful pose with one hand on its chin, a question-mark thought bubble above, and four different abstract tool boxes hovering at the four sides — wondering which alternative to evaluate

for ocr

For OCR.

vs Marker

Marker is a library you run. Frenchie is a server your agent calls.

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vs LlamaParse

LlamaParse fits the LlamaIndex stack. Frenchie fits the MCP ecosystem.

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for transcription

For transcription.

vs Whisper

Whisper is a transcription model you run. Frenchie is a managed MCP server.

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vs AssemblyAI

AssemblyAI goes deep on audio intelligence. Frenchie keeps it narrow.

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vs Deepgram

Deepgram is built for realtime. Frenchie is built for batch async.

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for extraction

For extraction.

vs Pandoc

Pandoc is a document converter you run. Frenchie is an MCP tool your agent calls.

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vs Unstructured

Unstructured is a document-processing platform. Frenchie is a narrow MCP file utility.

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for image generation

For image generation.

vs Replicate

Replicate is a model-hosting platform. Frenchie is an MCP tool your agent calls.

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vs Fal.ai

Fal.ai optimizes for low-latency image generation. Frenchie optimizes for agent ergonomics.

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Still not sure where Frenchie fits?

Start with 100 free credits. Let your agent run an OCR job, a transcription, an extraction, or generate an image — see what comes back. No card, no trial clock, no sales call.

Try Frenchie — 100 free credits