Helpdesk migration

Migrate from Helpy to Freshdesk

Field-level mapping, validation, and rollback between Helpy and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.

Helpy logo

Helpy

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

75%

6 of 8

objects map 1:1 between Helpy and Freshdesk.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

The Helpy-to-Freshdesk migration is a CSV-to-API translation. Helpy exposes no public REST endpoint for record creation, so we work through its documented CSV import templates to extract Customers, Tickets, Ticket Replies, KB Articles, and Categories. Those records are then transformed into typed Freshdesk API payloads and written via the Freshdesk REST API (available from Blossom plan and above). The primary structural difference is that Helpy organizes KB content under a flat Category layer, while Freshdesk uses a Category > Section > Article hierarchy — we reconstruct that tree during the KB pass. Ticket Replies are a discrete import type in Helpy, referenced by parent ticket number; we sort them chronologically before sequencing them into Freshdesk's conversation thread model. Attachments do not migrate via Helpy's CSV path; we extract them to a managed CDN bucket and deliver a post-migration reference table mapping each ticket to its attached file URLs. Automations, workflows, and any active rule sets in Helpy are not migratable and are delivered as a written inventory for the customer's admin to rebuild in Freshdesk.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Helpy logo

Helpy

What's pushing teams away

  • The platform lacks a mature REST API, making real-time integrations and automated data pipelines difficult to implement.
  • As ticket volume grows, the flat data model and limited reporting require workarounds to get the analytics teams need.
  • Feature development has slowed in recent cycles, leaving teams waiting for improvements in areas like mobile apps and SLA tooling.
  • Self-hosting is appealing but the operational overhead of maintaining the infrastructure falls on the internal team.
  • Limited third-party integrations compared to established platforms like Zendesk or Freshdesk means teams eventually consolidate onto a more connected stack.

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Helpy objects map to Freshdesk

Each row shows how a Helpy object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Helpy

Customer

maps to

Freshdesk

Contact

1:1
Fully supported

Helpy customer records export via CSV with name, email, company, and locale fields. We transform these into Freshdesk Contact API payloads, mapping the Helpy email field to Freshdesk's email property, name to name, and company to the company_id lookup. Any locale or timezone metadata from Helpy becomes a custom Contact field in Freshdesk. Email uniqueness serves as the dedupe key during import.

Helpy

Ticket

maps to

Freshdesk

Ticket

1:1
Fully supported

Helpy ticket CSV exports include subject, body, priority, status, assignee email, and channel. We map status values (open, pending, resolved, closed) to Freshdesk Ticket status integers, priority to priority integers, and assignee email to a Freshdesk agent lookup resolved via the Freshdesk agents endpoint. The original Helpy ticket ID is preserved in a custom field for audit and cross-referencing.

Helpy

Ticket Reply

maps to

Freshdesk

Conversation (Ticket Reply)

1:1
Fully supported

Helpy Ticket Replies are a standalone CSV type referenced by parent ticket number. We sort all reply records by created_at timestamp before writing, then post each reply to Freshdesk's conversations API endpoint as an inbound reply on the target ticket. Parent ticket existence is verified against Freshdesk before the reply pass begins to prevent dropped threads. Private notes and public replies are distinguished by a flags column if present in the Helpy CSV.

Helpy

Category

maps to

Freshdesk

Category + Section

1:many
Fully supported

Helpy's flat Category layer maps to Freshdesk's two-level KB hierarchy. Each Helpy Category becomes a Freshdesk Category; if the Helpy category contains more than 20 articles or spans distinct topic groups, we recommend splitting into multiple Freshdesk Sections under the parent Category. The customer decides the split strategy during scoping. Category sort order from Helpy's CSV column_index field is preserved in Freshdesk display_order.

Helpy

Knowledge Base Doc

maps to

Freshdesk

Article

1:1
Fully supported

Helpy KB Docs export via CSV with title, body (markdown or HTML depending on installation), meta keywords, and category_id reference. We map body content to Freshdesk's article description, apply HTML sanitization if the source is markdown, and wire the article to the target Freshdesk Category and Section. Meta keywords become Freshdesk article tags. Article authored_at and updated_at timestamps are preserved.

Helpy

User / Agent

maps to

Freshdesk

Agent

1:1
Fully supported

Helpy agents are not a standalone CSV import type — they are created manually in the admin panel or via admin provisioning. We extract every agent email referenced in ticket assignee and reply author fields, then provision corresponding Freshdesk agents via the Freshdesk agents API with the customer's specified group and role assignments. Inactive or departed agents receive tickets reassigned to the primary admin before migration.

Helpy

Attachment

maps to

Freshdesk

Attachment (CDN reference)

lossy
Fully supported

Helpy's CSV import does not support inline attachments. We scan all Helpy ticket bodies and KB article bodies for attachment references, extract files to a managed CDN bucket, and deliver a post-migration reference table mapping each source attachment URL to its CDN URL. The customer pastes CDN URLs back into Freshdesk ticket notes or article bodies as a post-import step. File size and type restrictions match Freshdesk's attachment API limits (25 MB per file on Growth and above).

Helpy

Custom Ticket Fields

maps to

Freshdesk

Custom Ticket Fields

1:1
Mapping required

Helpy custom ticket fields vary by installation since the CSV schema is not fixed. We audit the target Helpy instance's custom field configuration during discovery, then pre-create matching custom fields in Freshdesk via the ticket_fields API before migration. Field type mapping: Helpy text fields map to Freshdesk text, checkboxes to boolean, date fields to date. Fields without a Freshdesk equivalent are flagged and handled as post-migration custom field additions.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Helpy logo

Helpy gotchas

High

No REST API for bulk record creation

Medium

CSV import is admin-only and schema-sensitive

Medium

Knowledge Base Docs and Categories must be sequenced correctly

Medium

Ticket Replies imported as a separate type require chronological sequencing

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Helpy has no REST API — migration runs through CSV only

    Helpy does not expose a documented REST or GraphQL API for creating or updating tickets, customers, or KB articles programmatically. All data extraction must go through Helpy's CSV import interface, and all data ingestion into Freshdesk must use Freshdesk's REST API (not Helpy's CSV upload path, which only works inbound to Helpy). We bridge this by exporting from Helpy's CSV layer and writing to Freshdesk's API endpoints. Any Helpy data that cannot be expressed in the CSV template (such as attachment binary content or custom fields not configured in the target Helpy installation) must be handled as a separate post-migration step.

  • KB hierarchy mismatch causes flat article landing in Freshdesk

    Helpy organizes KB articles under a single Category layer without a Section concept. Freshdesk requires Category > Section > Article, with articles must be assigned to a Section, not directly to a Category. If Helpy categories contain fewer than 5 articles each, we map each Helpy category directly to a Freshdesk Category with all articles placed in a default Section. For larger or more complex Helpy categories, we apply a Section split strategy during scoping; otherwise articles arrive in Freshdesk without a valid section_id and the import fails for that batch.

  • Ticket Replies can be silently dropped if parent ticket is missing

    Helpy Ticket Replies are imported as a standalone type linked to parent tickets by ticket number. If a reply references a ticket number that does not exist in the target Freshdesk instance, Freshdesk silently drops the reply. We verify parent ticket existence in Freshdesk before the reply pass begins, sort all reply records chronologically by created_at, and write them in sequence. Any orphaned replies (where the parent ticket was not migrated) are logged separately and delivered in a reconciliation report for manual handling.

  • Knowledge base import can duplicate articles in Freshdesk

    Freshdesk's native KB import tools have a known failure mode where articles are written multiple times if the import process is interrupted or if the category mapping is ambiguous. Community reports from the Freshworks forums describe instances where a 200-article KB arrived as 800 articles. We avoid this by writing KB articles individually via the Freshdesk Articles API rather than using a bulk import tool, and by running a post-migration article count reconciliation against the source inventory.

  • Automations, workflows, and active rules do not migrate

    Helpy's automation rules (triggers, automations) are not exportable via CSV and have no documented API for bulk retrieval. We document the existing automation logic during discovery from Helpy's admin panel screenshots and admin export, then deliver a written inventory listing each rule with its trigger, conditions, and recommended Freshdesk Scenario Automation or Dispatcher equivalent. The customer's admin rebuilds these in Freshdesk post-migration. This applies to any SLA rules, ticket routing rules, or auto-assignment logic configured in Helpy.

Migration approach

Six steps for a successful Helpy to Freshdesk data migration

  1. Discovery and Helpy CSV template audit

    We audit the source Helpy instance's CSV import templates by downloading the official template pack from the Helpy Google Drive resources and comparing it against the target Helpy installation's actual CSV column headers. We inventory all active Customers, Tickets, Replies, KB Categories, and KB Articles, plus any custom fields present in the ticket CSV. We also confirm the destination Freshdesk plan (Sprout, Blossom, Growth, or Pro) to determine API access availability and feature parity. The discovery output is a written migration scope with record counts, object mapping table, and a recommendation to upgrade to Blossom or above if the destination is on Sprout.

  2. Freshdesk schema pre-configuration

    We pre-configure the Freshdesk destination before any data import begins. This includes creating custom Contact fields (for Helpy locale and timezone metadata), creating custom Ticket fields (for Helpy custom fields and the source Helpy ticket ID), defining KB Category and Section hierarchy in Freshdesk, and provisioning agent accounts via the Freshdesk agents API for every Helpy agent email identified in discovery. The Freshdesk API key is obtained from Profile Settings, and we verify API connectivity before proceeding.

  3. CSV extraction from Helpy and data transformation

    We export all records from Helpy via its CSV import interface for each object type: Customers first, then Categories, then KB Articles, then Tickets, then Replies. Each CSV is validated against Helpy's expected column headers before transformation. We convert Helpy field types to Freshdesk API-compatible payloads, apply deduping logic on email for Contacts, and sort Replies by created_at for chronological threading. Custom field values that do not map to Freshdesk typed fields are written to custom text fields for later cleanup.

  4. Staged write to Freshdesk API with reconciliation

    We write data to Freshdesk in dependency order: Categories and Sections first (KB hierarchy required for article assignment), then Contacts, then Tickets, then Replies, then Articles. Each phase writes to the Freshdesk REST API, emits a row-count reconciliation report, and waits for validation before the next phase begins. For the Replies phase, we batch requests to stay within Freshdesk API rate limits (variable by plan) and verify each parent ticket exists before posting. Any record rejected by the Freshdesk API is logged with the error response for correction and retry.

  5. Attachment extraction and reference table delivery

    We scan all Helpy ticket bodies and KB article bodies for attachment references, extract files to a managed CDN bucket, and validate download accessibility. We deliver a post-migration reference table (CSV) mapping each source Helpy attachment URL to its CDN URL, associated ticket or article ID, and file metadata. The customer or their admin pastes CDN URLs into Freshdesk ticket notes or article bodies as a post-migration step, since Helpy's CSV import does not carry binary attachment data.

  6. Cutover, validation, and automation inventory handoff

    We freeze Helpy writes during cutover, run a final delta migration of any records modified during the migration window, then deliver a full reconciliation report comparing source counts against Freshdesk destination counts for every object type. We deliver the automation inventory document (listing every Helpy trigger, routing rule, and SLA rule with Freshdesk Scenario Automation equivalent) to the customer's admin team. We do not rebuild Helpy automations as Freshdesk automations inside the migration scope; that work requires a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Helpy logo

Helpy

Source

Strengths

  • Open-source license with self-hosting option gives full data ownership and control.
  • Integrated Knowledge Base with category structure ships in the same product as ticketing.
  • CSV import templates are publicly available and admin-accessible without a developer.
  • Lightweight UI reduces onboarding friction for small support teams.
  • Active open-source community contributes patches and third-party themes.

Weaknesses

  • No public REST API means third-party integrations require custom development or workarounds.
  • No native bulk-export tool beyond CSV, so large-scale data extraction requires scripting.
  • Limited advanced reporting and analytics compared to enterprise helpdesk platforms.
  • Self-hosting model shifts server maintenance burden onto the customer's team.
  • Feature roadmap is community-driven, which can be slower than commercial competitors for enterprise features.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Helpy and Freshdesk.

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Helpy: Not publicly documented as numeric quotas.

  • Data volume sensitivity

    A

    Helpy exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Helpy to Freshdesk migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Helpy to Freshdesk data migrations

Answers to the questions buyers ask most during Helpy to Freshdesk migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Migrations under 5,000 tickets, 1,000 customers, and 500 KB articles typically complete in two to three weeks. Migrations with large knowledge base hierarchies (over 1,000 articles), extensive attachment extraction, multi-object custom field configuration, or a Freshdesk Sandbox-to-Production split move to five to seven weeks. The primary variable is knowledge base complexity — flat KBs migrate faster than those requiring section split strategy design.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Helpy.
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