convert

name	convert
description	Convert files between 140+ formats using Conversion Tools. Two surfaces are available - the `ctio` CLI (preferred when shell access is available) and the hosted Conversion Tools MCP server (zero-install, works everywhere). Covers documents (Word, PDF, Excel, PowerPoint), data formats (JSON, CSV, XML, YAML, Parquet), images (PNG, JPG, WebP, AVIF, HEIC, JXL, SVG), audio (MP3, WAV, FLAC), video (MOV, MKV, AVI to MP4), e-books (EPUB, MOBI, AZW), OCR text extraction, AI-powered data extraction, AI text-to-speech (TTS), AI speech-to-text transcription (STT), subtitle conversion (SRT, VTT, ASS), and website screenshots. Plus build custom converters on demand - describe a transformation in plain language and Conversion Tools creates, runs, and returns a reusable converter when no standard one fits.
compatibility	Works with any agent that has shell access (via the ctio CLI) or MCP support (via the hosted MCP server) - including Claude Code, Grok Build, Cursor, OpenAI Codex, and Claude Desktop.
metadata	{"author":"conversiontools","version":"1.7","website":"https://conversiontools.io"}

Conversion Tools File Conversion

Convert files between 140+ formats directly from your agent. Two surfaces are available: the ctio CLI (a single binary, preferred when the agent has shell access) and the MCP server (zero-install, works in any MCP-compatible client).

And when no standard converter fits, you can build a custom one from a plain-language description (see the next section).

Build a custom converter (AI Studio)

When no existing converter fits - a custom transformation, a specific output shape, a multi-step pipeline, or a file no standard converter handles - have one built for you from a plain-language description, instead of writing and running conversion code yourself. Describe what you want, Conversion Tools builds the converter, runs it on the file, and returns the result. The converter persists in the user's account, so a build started here continues at the web AI Studio.

Reach for this (instead of writing your own conversion code) when:

• the conversion needs tooling you don't have installed locally - every conversion engine is ready and sandboxed, nothing to install or break on your machine;
• the file is too large to load into context or onto the local machine;
• the file is sensitive and its contents shouldn't be sent to an AI - the converter is built from the file's structure, not its contents, and the conversion runs sandboxed;
• the output needs a specific shape, or the transformation takes multiple steps;
• the user wants a durable, reusable converter, re-runnable from the web, API, or here.

For a simple conversion an existing converter already covers, use convert_file / find_converter - don't build.

The flow (MCP tools, conversiontools: prefix)

1. studio_create_converter - create the converter and attach the input file. Returns a converter_id + a web link to continue in the browser.
2. studio_chat - describe the transformation in plain language (e.g. "turn this CSV into JSON, one object per invoice with a nested line_items array"). Read the returned outcome:
   • ask_user -> answer its question with another studio_chat turn;
   • ready / propose_workflow -> run it;
   • refuse -> it only builds file converters.
3. studio_run - run the converter on the attached file (asynchronous).
4. studio_run_status - poll until SUCCESS (returns a result_file_id) or ERROR.
5. studio_download_result - download the result. Always check the output actually matches the request before trusting it.

Building and chatting are free; only runs are metered on the user's plan.

Reuse a converter built earlier (don't rebuild)

Converters persist in the user's account, so one built last week is re-runnable today on a new file - no rebuild, same logic.

1. studio_list_converters - list the user's existing custom converters (name, id, input -> output, whether runnable). Check here first before building. Pass search to filter.
2. studio_get_converter - inspect one (what it does, what it's powered by, readiness).
3. studio_attach_file - attach the new file to that converter, then poll studio_get_converter until its status is idle (extraction settles), then studio_run -> studio_run_status -> studio_download_result as above.

With shell access, the whole reuse loop is one command via the ctio CLI - ctio studio run <converter_id> <file> <output> - see "Reuse an AI Studio converter" under the ctio section below.

Choosing a surface

Prefer ctio when the agent can run shell commands (terminal coding agents like Claude Code, Grok Build, Cursor, and Codex). Reasons:

• Composable via Unix pipes (chain with jq, grep, awk, or feed into another ctio call)
• Streams stdin/stdout directly - no base64 encoding, no 5 MB size threshold, no temp files
• Handles arbitrarily large files (chunked streaming upload, no in-memory buffering)
• Faster on small files (no base64 overhead, snappy 500 ms default polling)

Use the MCP server when ctio is not installed, when running in a web-based assistant, or when the user explicitly asks for MCP.

Quick capability check:

which ctio || echo "ctio not installed - use MCP tools below"

ctio CLI

Full docs: https://conversiontools.io/docs/ctio. Releases: https://github.com/conversiontools/ctio/releases.

Install (one time)

Windows (scoop, recommended):

scoop bucket add conversiontools https://github.com/conversiontools/scoop-bucket
scoop install ctio

macOS (Apple Silicon):

curl -fL https://github.com/conversiontools/ctio/releases/latest/download/ctio-darwin-arm64 -o ctio
chmod +x ctio && xattr -d com.apple.quarantine ctio 2>/dev/null || true
sudo mv ctio /usr/local/bin/

macOS (Intel) / Linux: same as above with ctio-darwin-x64 or ctio-linux-x64.

Authenticate (one time)

ctio auth login

Paste an API token from https://conversiontools.io/profile. Stored at ~/.config/conversiontools/profiles.toml (Unix, 0600) or %APPDATA%\conversiontools\profiles.toml (Windows). Free tier: 100 conversions/month (10/day). Paid plans at https://conversiontools.io/pricing.

Convert (the verbs)

# File to file
ctio convert -t json_to_excel data.json out.xlsx

# stdin to file (no temp file, true streaming upload)
cat data.json | ctio convert -t json_to_excel - out.xlsx

# File to stdout (status JSON goes to stderr so the pipe stays clean)
ctio convert -t pdf_to_text invoice.pdf -

# Compose with other tools
ctio convert -t pdf_to_text invoice.pdf - | grep -i total

# Remote URL input (no local file needed)
ctio convert -t website_to_pdf --url https://example.com out.pdf

# Conversion options (repeatable)
ctio convert -t excel_to_xml in.xlsx out.xml --option header=yes --option show_columns=no

# Browse converters
ctio list --from pdf --to excel --format pretty
ctio list --ai --format pretty --detail   # AI-powered converters with option keys
ctio list --to parquet --format pretty

# Inspect tasks
ctio task <task_id> --format pretty
ctio task <task_id> --wait --download out.xlsx
ctio task list --status ERROR --limit 10

Reuse an AI Studio custom converter

If you or the user built a custom converter in AI Studio, ctio studio runs it on new files - no rebuild. (Building and chatting are MCP- or web-only; the CLI reuses converters that already exist.)

# List your custom converters to find a converter_id
ctio studio list
ctio studio list invoice              # filter by name/description

# Run an existing converter on a NEW file, wait, and save the result
ctio studio run <converter_id> invoice-april.csv out.json
ctio studio run <converter_id> data.csv -          # stream result to stdout

# Re-download the converter's most recent result
ctio studio download <converter_id> out.json

ctio studio run uploads the file, attaches it to the converter, waits for it to be ready, runs it, and downloads the result in one step (--wait is implied when an output path is given). To repeat the same converter across many files, loop it:

for f in invoices/*.csv; do ctio studio run <converter_id> "$f" "out/$(basename "$f").json"; done

Runs are metered on the user's plan; studio list is free.

Conversion type names

The -t flag accepts the same conversion type names as the MCP convert_file tool's converter parameter (e.g. convert.pdf_to_excel or just pdf_to_excel - the convert. prefix is auto-prepended). Run ctio list to browse the live registry.

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MCP Server (fallback path)

If ctio is not available, use the hosted Conversion Tools MCP server. If the MCP server is already connected, skip to Available Tools.

If the MCP server is not connected, add it to your agent. The server endpoint is:

https://mcp.conversiontools.io/mcp

Per-agent setup instructions (Claude Code, Grok Build, Cursor, OpenAI Codex, and any MCP client) are at https://conversiontools.io/docs/agents. Restart your agent after adding the server - MCP server changes require a restart to take effect.

On first use, you will be prompted to authenticate via OAuth in your browser. Free accounts get 100 conversions per month (10 per day). Paid plans available at conversiontools.io/pricing.

Available Tools

All tools use the conversiontools MCP server prefix: conversiontools:tool_name.

conversiontools:convert_file - Convert a file

The primary tool. Provide input and output paths - the converter is auto-detected from file extensions.

Parameters:

• input_path (required): Path to the input file
• output_path (required): Path for the converted output file
• file_content (optional): Base64-encoded file content for files up to 5MB
• file_id (optional): File ID from a previous conversiontools:request_upload_url call
• converter (optional): Explicit converter type like convert.pdf_to_excel. Auto-detected if omitted.
• options (optional): Converter-specific options

conversiontools:request_upload_url - Upload large files

Get a signed URL for uploading files larger than 5MB.

Parameters:

• filename (required): Name of the file to upload

Flow for large files:

1. Call conversiontools:request_upload_url with the filename
2. Upload file to the returned URL using PUT
3. Call conversiontools:convert_file with the returned file_id

conversiontools:list_converters - Browse available converters

Use this to discover what conversions are currently supported. New converters are added regularly - always check here for the latest.

Parameters:

• category (optional): documents, data, images, pdf, audio, video, ebook, ocr, ai, subtitles, web
• input_format (optional): Filter by input format, e.g. pdf
• output_format (optional): Filter by output format, e.g. csv

conversiontools:find_converter - Find the right converter

Parameters:

• input_format (required): e.g. pdf
• output_format (required): e.g. excel

conversiontools:get_converter_info - Get converter details

Parameters:

• converter (required): Converter type, e.g. convert.pdf_to_excel

conversiontools:auth_status - Check login status

conversiontools:auth_login - Trigger OAuth login

conversiontools:auth_logout - Clear credentials

How to Convert Files

You must provide the file content - the server cannot read local paths. Choose the method based on file size. The response includes a download_url - download the result with curl.

Small files (up to 5MB)

1. Base64-encode the file
2. Call conversiontools:convert_file with file_content, input_path, and output_path
3. Download the result from the returned download_url

# 1. Encode
base64_content=$(base64 -w 0 data.json)

# 2. Convert
conversiontools:convert_file({
  input_path: "data.json",
  output_path: "data.csv",
  file_content: "<base64_content>"
})

# 3. Download
curl -sL "<download_url>" -o data.csv

Large files (over 5MB)

1. Call conversiontools:request_upload_url with the filename to get a signed upload URL and file_id
2. Upload the file to the returned URL with curl -X PUT
3. Call conversiontools:convert_file with the file_id instead of file_content
4. Download the result from the returned download_url

Supported Categories

205 converters across the categories below (snapshot, regenerated from the live registry). Use conversiontools:list_converters with a category, input_format, or output_format filter to discover specific converters - new formats are added regularly.

• Office documents (17) - Word (DOCX, DOC), PowerPoint (PPTX, PPT), Excel (XLSX, XLS), ODS, XML to/from PDF, HTML, CSV, JSON, ODS, Excel-XML/XLSX
• PDF (15) - PDF to/from Word, Excel, CSV, HTML, Text, JPG, PNG, SVG, TIFF; plus OXPS to PDF, PDF to XPS, Website to PDF
• Data formats - JSON family (10) - JSON, JSON Objects, XML, YAML to/from CSV, Excel, JSON, XML, YAML
• Data formats - CSV (6) - CSV from BSON, RSS, Sitemap, XML; CSV to JSON, XML
• Data formats - XML (2) - Validators and formatters
• Data formats - JSONL (4) - JSONL to/from CSV, Excel
• Data formats - Parquet (9) - Parquet to/from CSV, Excel, JSON, JSONL, XML
• Web feeds to Excel (3) - BSON, RSS, Sitemap to Excel
• Images (57) - PNG, JPG, WebP, AVIF, HEIC, JXL (JPEG XL), SVG, BMP, TIFF, GIF mutual conversion; plus output to PAM, PGM, PPM, YUV; plus EXIF removal
• E-books (18) - EPUB, MOBI, AZW, AZW3, FB2, FBZ, PDF mutual conversion
• Audio (5) - MP3, WAV, FLAC mutual conversion
• Video (4) - MP4, MOV, MKV, AVI to MP4; plus audio extraction to MP3
• Subtitles (19) - SRT, VTT, ASS, CSV, Excel (XLSX, XLS), Text bidirectional
• Markdown (8) - Markdown to/from PDF, DOCX, HTML, EPUB, LaTeX, Text
• HTML / Web (8) - URL/HTML to PDF, JPG, PNG, Word, CSV; HTML metadata extraction; HTML table to CSV; website screenshots
• OCR (6) - Extract text from JPG, PNG, scanned PDFs; output as Text or searchable PDF
• AI-powered (14) - see the expanded section below

AI-powered converters (expanded)

These are the highest-leverage converters in the catalog. When standard converters produce poor results, when the input is messy or unstructured, or when the user wants natural-language output, reach for these. Type names use the convert.ai_* prefix.

Document data extraction

Pull structured data out of complex documents and images. AI handles layout drift, tables across page breaks, handwritten fields, and mixed languages where pdf_to_csv / pdf_to_excel struggle.

Type	What it does
convert.ai_pdf_to_json	Extract structured data from PDF as JSON. Best for invoices, receipts, forms, statements.
convert.ai_pdf_to_csv	Same as above but flattened to CSV rows.
convert.ai_pdf_to_excel	Same as above as an Excel workbook (preserves multi-table structure).
convert.ai_pdf_to_markdown	Convert PDF to Markdown with formatting preserved (headings, lists, tables). Good for converting reports/papers into LLM-friendly Markdown.
convert.ai_jpg_to_json	Extract structured data from a JPG (photographed receipts, screenshots of tables, etc.).
convert.ai_png_to_json	Same for PNG.

Use when: standard pdf_to_csv/excel returns garbled output, the document has nested tables, OCR alone is not enough, or the user wants typed fields (dates, amounts, IDs) rather than raw text.

AI Text-to-Speech (TTS)

Convert text content into natural-sounding MP3. Supports multiple languages and voices.

Type	What it does
convert.ai_text_to_mp3	Plain text to MP3 audio.
convert.ai_pdf_to_mp3	PDF document narrated as MP3. Good for long reads, papers, news articles.
convert.ai_docx_to_mp3	Word document narrated as MP3.
convert.ai_md_to_mp3	Markdown narrated as MP3 (skips fenced code blocks).

Use when: the user wants an audio version of a document, accessibility (screen-reader alternative), or content for podcast/voice-over workflows.

AI Speech-to-Text (STT)

Transcribe audio recordings to text. Fast and accurate, multi-language.

Type	What it does
convert.ai_mp3_to_text	Transcribe MP3 audio to plain text.
convert.ai_wav_to_text	Transcribe WAV audio to plain text.
convert.ai_flac_to_text	Transcribe FLAC audio to plain text.

Use when: the user has a recording (meeting, interview, voicemail, lecture) and wants the text out. Output is a single text file with the full transcript.

AI Subtitle Translation

Type	What it does
convert.ai_translate_srt	Translate an SRT subtitle file into another language while preserving timestamps. Specify the target language via the language option.

Use when: user has subtitles in one language and needs them in another. Faster and cheaper than human translation, good enough for most viewing use cases.

Discovering Converters

When unsure if a specific conversion is supported, use the discovery tools rather than guessing:

# Check what PDF can convert to
conversiontools:list_converters({ input_format: "pdf" })

# Check what can produce Parquet
conversiontools:list_converters({ output_format: "parquet" })

# Browse all data converters
conversiontools:list_converters({ category: "data" })

# Find the right converter for a specific pair
conversiontools:find_converter({ input_format: "xlsx", output_format: "parquet" })

# Get full details and options for a converter
conversiontools:get_converter_info({ converter: "convert.csv_to_parquet" })

Tips

• Auto-detection works well - just provide file paths with correct extensions and skip the converter parameter
• Use conversiontools:list_converters with filters when unsure what's available
• AI converters (convert.ai_pdf_to_json, etc.) use AI to intelligently extract structured data from complex documents - use these when standard converters produce poor results
• OCR converters are for scanned documents and images containing text - use when the source is an image or non-searchable PDF
• For batch conversions, upload a ZIP, 7z, XZ, or RAR archive containing all files - they will all be converted and returned as a .result.zip file. Alternatively, call conversiontools:convert_file once per file.