DocuHonyaku vs Easy-Peasy.AI

DocuHonyaku and Easy-Peasy.AI are both writing tools tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

DocuHonyaku

DocuHonyaku accepts PDF, Word, Excel, PowerPoint, scanned documents, images, EPUB, and subtitle files, and the vendor states the output lands in the same format with tables, equations, column structure, and footnote positions intact. The pipeline runs structure analysis first, then AI-based OCR for scans, then translation, then layout reconstruction — each step surfaced in real time during processing. The free tier allows 20 pages per month after registration with no credit card required, which is enough to verify layout fidelity before committing. There is no API and no self-hosted option, so teams that need to embed translation into an internal pipeline or keep data off third-party servers hit a wall immediately. Scanned pages count double against the page quota, which compresses effective capacity for contract-heavy or scan-heavy workflows.

Easy-Peasy.AI

The platform spans written content, AI image generation, text-to-speech, audio transcription, music generation, and video creation — plus a Marky Agent layer that can browse the web, run code, and build presentations without you managing each step. For a solo creator or small marketing team producing blog posts, social captions, and AI headshots from one account, that breadth is real. The ceiling appears when output quality per category gets compared against a dedicated tool: a team that ships video daily will feel the gap against a specialist video platform. Custom AI agents trained on your data and embedded on a website for customer support are available, but agent customization depth is thinner than purpose-built chatbot builders. The free tier caps word output at a level that covers evaluation but not production volume.

Attribute	DocuHonyaku	Easy-Peasy.AI
Pricing	Paid	Paid
Price	—	$8/month to $16.5/month
Free trial	No	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	No
Platforms	Web	Web, Android, iOS
Released	—	2022-12-29
Pros	Layout reconstruction covers two-column PDFs with equations, merged Excel cells, and PowerPoint figure placement, which means the translated file is immediately usable without manual reformatting — the work that typically consumes more time than the translation itself. AI-based OCR on scanned documents reads context rather than character shapes alone, so a scanned contract with imperfect print quality produces a readable translated draft rather than garbled output. Files are auto-deleted within 72 hours and the vendor explicitly states documents are not used for model training, which means teams can pass internal compliance review without a data processing agreement negotiation for most non-regulated contexts. A one-time page-bundle purchase option exists alongside subscriptions, so teams with occasional high-volume needs avoid paying for a monthly quota they will not consistently use. Registration-free preview translation lets you test the actual pipeline on your own file before creating an account, so layout fidelity is verifiable against your specific document type before any commitment.	A model picker covering GPT, Claude (with selectable reasoning depth), Gemini, Grok, DeepSeek, Llama, and others, so when one provider's API is slow or expensive you switch in seconds rather than re-engineering an integration. Marky Agent browses the web, runs code, and builds presentations in a single task run, so you avoid the manual step of pulling research from one tab and pasting it into another before generating output. Visual AI Workflows chain writing, image generation, and video steps into a saved pipeline, which means a repeatable weekly content process stops requiring a human to babysit each handoff. Custom bots trained on your data can be embedded directly on a website for customer-facing support, so you get a deployed chatbot without a separate vendor relationship or integration build. Broad output modality coverage — text, image, audio, video, transcription — under one account, so a solo creator or small team avoids four separate subscriptions and four separate usage dashboards.
Cons	There is no API and no webhook or integration layer, so any team that needs translation embedded in a document pipeline — triggering on upload, feeding output to a downstream system — must build a manual handoff step around every translation, and teams with that requirement switch to a provider with a documented API. Scanned pages consume double the page quota, so a workflow built around scanned invoices or contracts on the free or entry-level paid tier runs out of capacity at half the apparent page limit — teams processing high volumes of scans recalculate their cost assumptions and often move to a higher tier than initially planned. Self-hosting is not available, meaning any organization whose data governance policy prohibits uploading documents to third-party cloud services cannot use this tool at all, regardless of the auto-deletion policy — that is a hard stop that redirects teams to self-hosted alternatives or internal LLM deployments.	The Marky Agent's task depth is thinner than dedicated agent platforms: complex multi-step workflows that branch based on what a prior step returned hit the edge of what the visual builder can express, and community reports suggest teams add manual steps or external scripts to compensate — at which point they are maintaining a hybrid system. Custom AI bot configuration is surface-level compared to purpose-built chatbot builders with deep retrieval and fallback tuning. Teams deploying a high-volume customer support agent where answer accuracy is critical tend to migrate to a dedicated RAG-focused platform after the first round of hallucinated responses. Output quality per category — particularly video and TTS — trails tools built exclusively for those tasks. A team whose core deliverable is daily short-form video will find the gap wide enough to justify a specialist tool, effectively reducing Easy-Peasy.AI to a writing and templating layer only. No self-hosted option exists, which is a hard stop for teams under data residency or compliance requirements; those teams cannot use the platform at all regardless of output quality.

Bottom line

Only Easy-Peasy.AI exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between DocuHonyaku and Easy-Peasy.AI?

DocuHonyaku is Paid, while Easy-Peasy.AI is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is DocuHonyaku better than Easy-Peasy.AI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.